Handbook of Satellite Land Products compiles the key information of as many satellite products as possible for each essential land variable. It provides a comprehensive list of openly accessible high-level satellite products that characterize the essential land surface variables of the Earth system, including the original data sources, inversion algorithms, product characteristics, validation accuracy, and any existing applications. Each product includes satellite data inversion methodology and high-level product generation and application information, allowing for comparison of different products and selection of the correct ones for different applications.
This book will help researchers, professors, and graduate students grasp the knowledge of existing satellite land products, understand the advantages and limitations, and follow the practical application examples.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. xv 7. About the editors - p. xxix 8. Preface - p. xxxi 9. Land surface radiation and energy budget - p. P1 10. Section 1.1. Downward solar radiation - p. S2 11. Chapter 1. GLASS downward shortwave radiation product - p. 5 12. Chapter 2. MCD18 and GeoNEX downward shortwave radiation and PAR products - p. 13 13. Chapter 3. Surface solar radiation products based on new-generation geostationary satellite - p. 21 14. Chapter 4. Long-term and high-resolution global product of surface solar radiation and its direct and diffuse components - p. 27 15. Section 1.2. Broadband albedo - p. S002 16. Chapter 5. GLASS surface albedo - p. 39 17. Chapter 6. NOAA VIIRS daily gap-free land surface albedo product - p. 47 18. Chapter 7. Medium-resolution spectral and broadband albedo from Sentinel-2, VEGETATION+MERIS and AVHRR using MODIS and VIIRS as “prior estimation” - p. 55 19. Section 1.3. Longwave radiation - p. S3 20. Chapter 8. GLASS thermal radiation products from AVHRR data - p. 69 21. Chapter 9. LessRad product suite (0.05°, hourly): Surface longwave radiation (1982–2022) and outgoing longwave radiation (2000–22) - p. 77 22. Chapter 10. GLASS-MODIS-SRF-j: A global instantaneous and daily 1km product suite of surface radiative fluxes jointly retrieved from MODIS data from 2000 to 2023 - p. 85 23. Section 1.4. Land surface temperature - p. S4 24. Chapter 11. VIIRS land surface temperature - p. 95 25. Chapter 12. GHA-LST: Global hourly, 5km, and all-sky land surface temperature product - p. 101 26. Chapter 13. GLASS all-weather land surface temperature product from MODIS data - p. 109 27. Chapter 14. GLASS LST product from AVHRR data - p. 117 28. Section 1.5. Net radiation and sensible heat flux - p. S5 29. Chapter 15. Three GLASS/Hi-GLASS net radiation products - p. 123 30. Chapter 16. MuSyQ 1km hourly surface radiation budget products for the Tibetan Plateau and Southwestern China - p. 133 31. Chapter 17. GLASS 1km daily sensible heat flux and land surface—air temperature difference products from 2000–2020 - p. 141 32. Section 1.6. Atmospheric aerosol - p. S6 33. Chapter 18. Global long-term total and fine-mode aerosol climate records over land retrieved from multispectral satellites - p. 149 34. Chapter 19. Global land surface 0.5 degrees daily fine- and coarse-mode aerosol optical depth datasets (2001–21) - p. 157 35. Chapter 20. Global gap-free daily 1-km resolution aerosol optical depth between 2000 and 2024 - p. 165 36. Chapter 21. Global gap-free daily 1-km resolution PM2.5 concentrations during 2000–2021 - p. 177 37. Terrestrial ecosystem and carbon cycle - p. P2 38. Section 2.1. Leaf area index and FAPAR - p. S7 39. Chapter 22. The 20m, 5-day Hi-GLASS LAI/FAPAR products - p. 189 40. Chapter 23. MODIS&VIIRS LAI/FPAR - p. 195 41. Chapter 24. The 250m, 8-day GLASS LAI product - p. 209 42. Chapter 25. The ESA CCI vegetation variables time series: A joint sensor approach using OptiSAIL - p. 213 43. Chapter 26. GLOBMAP LAI: A long-term consistent global leaf area index dataset from combined AVHRR and MODIS data - p. 225 44. Chapter 27. The global LAI, FAPAR, FCOVER 1km version 1 (GEOV1) products of the Copernicus Land Monitoring Service - p. 231 45. Chapter 28. The global LAI, FAPAR, FCOVER 1km version 2 (GEOV2) products of the Copernicus Land Monitoring Service - p. 239 46. Chapter 29. The global long-term LAI, FAPAR, FCOVER 0.05 degrees GEOV2-AVHRR products from the THEIA land data center - p. 247 47. Chapter 30. The global LAI, FAPAR, FCOVER 300m Version 1 products of the Copernicus Land Monitoring Service - p. 253 48. Chapter 31. The 250, 8-day GLASS FAPAR product - p. 261 49. Chapter 32. Hi-GLASS FAPAR product - p. 265 50. Section 2.2. Fraction of vegetation cover - p. S8 51. Chapter 33. GLASS fractional vegetation cover (FVC) products - p. 273 52. Chapter 34. Hi-GLASS 30 m 16-day FVC product - p. 277 53. Chapter 35. A 30m 15-day Fractional Vegetation Cover product over China from 2010 to 2022 - p. 283 54. Chapter 36. The global EUMETSAT EPS/AVHRR vegetation products: LAI, FVC, and FAPAR - p. 289 55. Section 2.3. Fraction of forest cover - p. S9 56. Chapter 37. GLOBMAP FTC: A global fractional tree cover product - p. 299 57. Chapter 38. GLASS 250m 8-day fractional forest cover Product (2000–24) - p. 305 58. Chapter 39. A 30m annual Fractional Forest Cover product over China’s three-North region from 1996 to 2020 - p. 311 59. Chapter 40. Thirty-meter map of global natural and planted forests - p. 317 60. Chapter 41. First prototype maps of Southeast Asia's tropical tree cover (4.77m, annual, 2016–21) using next-gen Earth observation - p. 321 61. Chapter 42. China Annual Tree Cover Dataset (CATCD) - p. 329 62. Section 2.4. Canopy clumping index - p. S10 63. Chapter 43. CAS-CI: A global 500m canopy clumping index product derived from MODIS reflectance data - p. 337 64. Chapter 44. MODIS 500 m 8-day/monthly clumping index products - p. 345 65. Section 2.5. Tree height and biomass - p. S11 66. Chapter 45. High-resolution forest stand mean height product - p. 355 67. Chapter 46. GLASS annual high-resolution long-term forest aboveground biomass product - p. 363 68. Chapter 47. Global long-term L-band vegetation optical depth (L-VOD) products from SMOS and SMAP - p. 369 69. Chapter 48. INRAE-BORDEAUX ASCAT vegetation optical depth (ASCAT C-VOD) - p. 381 70. Section 2.6. Gross primary production - p. S12 71. Chapter 49. GLASS 8-day 500m/0.05degrees vegetation gross primary production (GPP) products from MODIS (2000–24) and AVHRR (1982–2018) data - p. 393 72. Chapter 50. Global daily GPP simulated by VPM3.0 with MODIS and ERA5 climate data - p. 403 73. Chapter 51. Global hourly total canopy SIF emission and SIF-based GPP products (2000–2022) - p. 409 74. Section 2.7. Vegetation indices - p. S13 75. Chapter 52. The 250, 8-day GLASS vegetation index products - p. 417 76. Chapter 53. The fourth-generation GIMMS vegetation index product collection - p. 421 77. Section 2.8. Vegetation phenology - p. S14 78. Chapter 54. Fractional shrub abundance product in Inner Mongolia, China - p. 429 79. Chapter 55. The GLASS global annual 500m vegetation productivity phenology product from 2000 to 2020 - p. 435 80. Chapter 56. An annual 30m urban vegetation phenology product over conterminous United States from 1985–2015 - p. 443 81. Chapter 57. Global land surface phenology product from VIIRS observations - p. 451 82. Chapter 58. The High-Resolution Vegetation Phenology and Productivity (HR-VPP) dataset of the Copernicus Land Monitoring Service - p. 465 83. Chapter 59. A 30m product of young forest ages over China in 2020 - p. 477 84. Chapter 60. GLOBMAP LCC: Global vegetation leaf chlorophyll content products from MERIS and MODIS - p. 481 85. Chapter 61. The global annual land surface phenology (GALSP) product from AVHRR data (1982–2018) - p. 491 86. Section 2.9. Ecological products - p. S15 87. Chapter 62. The high-resolution global leaf chlorophyll content product: MuSyQ global LCC - p. 499 88. Chapter 63. A global long-term land surface parameter record derived using AMSR-E and AMSR2 - p. 507 89. Water cycle and cryosphere - p. P3 90. Section 3.1. Surface water - p. S16 91. Chapter 64. GLOBMAP SWF: A global annual surface water cover frequency dataset during 2000–2020 - p. 519 92. Chapter 65. A 10m China water cover product in 2020 - p. 525 93. Chapter 66. Inventory of Chinese reservoirs and storage capacity - p. 533 94. Chapter 67. GLAKES: A 30m global lake surface area product from 1984–2019 - p. 543 95. Chapter 68. GLAST: A daily global lake surface water temperature product from 1981–2099 - p. 551 96. Chapter 69. The surface water level, area and storage dynamics products of 338 Chinese major reservoirs from 2010–2021 - p. 557 97. Section 3.2. Soil moisture - p. 563 98. Chapter 70. INRAE Bordeaux global soil moisture products from SMOS and SMAP - p. 567 99. Chapter 71. GLASS 1km daily soil moisture product (2000–2020) - p. 577 100. Chapter 72. A global gap-free 1km daily surface soil moisture product from 2000 to 2020 - p. 585 101. Chapter 73. SMOS soil moisture product - p. 593 102. Chapter 74. Spatially seamless, daily SMAP surface soil moisture dataset from 2015 to 2021 (SSD_SMAP) - p. 607 103. Chapter 75. Historical SMAP surface soil moisture dataset from 1979 to 2015 (Hist_SMAP) - p. 611 104. Chapter 76. Global 9km, 8-day SMAP surface soil moisture dataset from 2015 to 2020 (VIPSTF-SW9) - p. 615 105. Chapter 77. SGD-SM: A global seamless 0.25° daily soil moisture product from 2002 to 2022 - p. 621 106. Chapter 78. An enhanced global 36km SMAP soil moisture product from 2015 to 2021 - p. 627 107. Chapter 79. GLASS-AVHRR 5km seamless soil moisture product (1982–2021) - p. 635 108. Section 3.3. Evapotranspiration - p. S17 109. Chapter 80. GLASS MODIS (1km, 2000–2020) and AVHRR (0.05°, 1981–2020) 8-day ET products - p. 645 110. Chapter 81. Hi-GLASS ET product - p. 651 111. Chapter 82. HG-Land ET: A global 0.5 degrees monthly highly generalized land evapotranspiration product (1982–2018) - p. 655 112. Section 3.4. Irrigation - p. S18 113. Chapter 83. A global monthly 0.25° irrigation water use product (2011–18) based on multisource satellite data - p. 663 114. Chapter 84. GMIE: Global maximum irrigated cropland extent at 100 m resolution - p. 669 115. Chapter 85. CIrrMap250: An annual 250m irrigated cropland product over China from multiple sources (2000–2020) - p. 679 116. Chapter 86. LANID—The first annual, nationwide, field-level irrigation maps at 30 m resolution from 1997 to 2025 for the United States - p. 685 117. Chapter 87. Three high-resolution (1 and 6 km) weekly regional irrigation water use data sets - p. 691 118. Section 3.5. Cryosphere - p. S19 119. Chapter 88. A 5km snow cover phenology changes product from 2000 to 2020 over North Hemisphere - p. 701 120. Chapter 89. MODIS and VIIRS snow-cover extent products - p. 707 121. Chapter 90. Glacier mapping from multispectral satellite sensors - p. 715 122. Chapter 91. The NIEER gap-free 5km daily AVHRR snow cover extent product over China from 1980 to 2020 - p. 723 123. Chapter 92. Two 0.25 degrees daily snow depth products: A fused time series over the Northern Hemisphere and multisensor retrievals over China - p. 733 124. Chapter 93. GLIP: A global lake ice phenology product from 2001 to 2020 using MODIS data - p. 741 125. Chapter 94. HMRFS-TP: A long-term (2002–22) 500m daily gap-free snow cover product over the Tibetan Plateau - p. 749 126. Chapter 95. MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian water tower region (2000–2022) - p. 755 127. Chapter 96. Permafrost thermal state and distribution products in the Northern Hemisphere - p. 761 128. Chapter 97. A daily 10km gridded snow water equivalent product for the land region above 45 degrees N from 1979 to 2019 - p. 769 129. Chapter 98. A daily 25km snow water equivalent dataset from 1980 to 2020 over China - p. 775 130. Chapter 99. The 2010 1km permafrost distribution product of the Qinghai-Tibet Plateau - p. 779 131. Chapter 100. A 1km permafrost distribution product over the Tibetan Plateau - p. 787 132. Chapter 101. A 1km permafrost temperature (15m in depth) product over the Tibetan Plateau from 2010 to 2019 - p. 791 133. Chapter 102. A 1km ground ice dataset over the permafrost regions of Tibetan Plateau - p. 795 134. Chapter 103. A 1km surface soil liquid water content product over bare soil and grassland of Tibetan Plateau from 2017–2021 - p. 799 135. Chapter 104. A 1km vegetation types distribution product in permafrost region of the Tibetan Plateau - p. 805 136. Land cover and land use - p. P4 137. Section 4.1. Global land cover - p. S20 138. Chapter 105. A global 30m land-cover dynamic product with fine classification system - p. 813 139. Chapter 106. A 30m Global Land Cover Dataset (GLC-2015) by fusing multiple existing products - p. 819 140. Chapter 107. CRLC: a 10m land cover product over China for 2020 using historical product-driven cross-resolution land-cover deep learning mapping - p. 827 141. Chapter 108. A 10-m resolution global mangrove forest distribution product for 2020 - p. 835 142. Chapter 109. CMFM15: A 30m mangrove forests product over China in 2015 using time-series Landsat and Sentinel-1A imagery - p. 841 143. Section 4.2. Cropping - p. S21 144. Chapter 110. GCI30: A global 30m cropping intensity product from 2016–2023 - p. 851 145. Chapter 111. A 20m paddy rice cropping intensity, intercropping status, and cropping calendar product from 2018–2021 over Monsoon Asia - p. 859 146. Chapter 112. The FAO global 10–30m cropland extent agreement map for year 2020 - p. 865 147. Chapter 113. FAO global agricultural drought monitoring datasets - p. 871 148. Chapter 114. A global 10m plastic-mulched cropland dataset in 2022 - p. 879 149. Chapter 115. ChinaCUI: Long-term Cropland use intensity datasets in China (1982–2024) - p. 885 150. Chapter 116. GloCAB: the first global cropland burned area product at 0.25 degrees resolution from 2002 to 2020 - p. 891 151. Chapter 117. ChinaWheatYield30m: A 30m winter wheat yield dataset (2016–2021) in China - p. 897 152. Chapter 118. The global 500m synergy cropland map in 2010 - p. 903 153. Chapter 119. AsiaWheat: A 250 m annual Asian fractional wheat cover product from 2001 to 2023 - p. 911 154. Chapter 120. Annual 30m rice cover product for Monsoon Asia from 2018 to 2023 - p. 917 155. Section 4.3. Wild fires and forest management - p. S22 156. Chapter 121. Global and regional burned area products from the ESA Climate Change Initiative - p. 927 157. Chapter 122. A global 250 m annual product of forest management types from 2001–2020 - p. 935 158. Section 4.4. Topography and climate zones - p. S23 159. Chapter 123. Terrestrial and planetary digital elevation models from stereo and deep learning from SPOT, MEX-HRSC, MRO-CTX, MRO-HiRISE, and LRO-NAC - p. 943 160. Chapter 124. Global 1kmKöppen-Geiger climate zone products from 1979–2099 - p. 955 161. Urban environment - p. P5 162. Section 5.1. Impervious surface - p. P5 163. Chapter 125. Global 30m long-term (1985-present) annual impervious surface and multi-temporal built-up boundary products - p. 975 164. Chapter 126. GISA: Long-term and high-resolution (10–30m) annual global impervious surface area products (1972–2024) - p. 981 165. Section 5.2. Building heights - p. S24 166. Chapter 127. 3D-GloBFP: a three-dimensional global building footprint product in 2020 - p. 995 167. Chapter 128. A 2.5m annual building rooftop area product over China (2016–2021) - p. 1001 168. Section 5.3. Urban land use and night-light derived products - p. S26 169. Chapter 129. Land use mapping: Definitions, methodologies, assessments, and applications - p. 1011 170. Chapter 130. A 10-m, 10-day urban greenspace product of global 1028 major cities from 2019–2022 - p. 1019 171. Chapter 131. A 10m wetland product of six Chinese cities in 2015 and 2020 - p. 1025 172. Chapter 132. A global 1km resolution annual rural–urban continuum product from 2000 to 2020 - p. 1029 173. Chapter 133. Black marble nighttime light product suite - p. 1037 174. Chapter 134. GUN: High-resolution global urban land-use benchmark dataset and automatic mapping - p. 1047 175. Index - p. 1055
Handbook of Satellite Land Products compiles the key information of as many satellite products as possible for each essential land variable. It provides a comprehensive list of openly accessible high-level satellite products that characterize the essential land surface variables of the Earth system, including the original data sources, inversion algorithms, product characteristics, validation accuracy, and any existing applications. Each product includes satellite data inversion methodology and high-level product generation and application information, allowing for comparison of different products and selection of the correct ones for different applications.
This book will help researchers, professors, and graduate students grasp the knowledge of existing satellite land products, understand the advantages and limitations, and follow the practical application examples.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. xv 7. About the editors - p. xxix 8. Preface - p. xxxi 9. Land surface radiation and energy budget - p. P1 10. Section 1.1. Downward solar radiation - p. S2 11. Chapter 1. GLASS downward shortwave radiation product - p. 5 12. Chapter 2. MCD18 and GeoNEX downward shortwave radiation and PAR products - p. 13 13. Chapter 3. Surface solar radiation products based on new-generation geostationary satellite - p. 21 14. Chapter 4. Long-term and high-resolution global product of surface solar radiation and its direct and diffuse components - p. 27 15. Section 1.2. Broadband albedo - p. S002 16. Chapter 5. GLASS surface albedo - p. 39 17. Chapter 6. NOAA VIIRS daily gap-free land surface albedo product - p. 47 18. Chapter 7. Medium-resolution spectral and broadband albedo from Sentinel-2, VEGETATION+MERIS and AVHRR using MODIS and VIIRS as “prior estimation” - p. 55 19. Section 1.3. Longwave radiation - p. S3 20. Chapter 8. GLASS thermal radiation products from AVHRR data - p. 69 21. Chapter 9. LessRad product suite (0.05°, hourly): Surface longwave radiation (1982–2022) and outgoing longwave radiation (2000–22) - p. 77 22. Chapter 10. GLASS-MODIS-SRF-j: A global instantaneous and daily 1km product suite of surface radiative fluxes jointly retrieved from MODIS data from 2000 to 2023 - p. 85 23. Section 1.4. Land surface temperature - p. S4 24. Chapter 11. VIIRS land surface temperature - p. 95 25. Chapter 12. GHA-LST: Global hourly, 5km, and all-sky land surface temperature product - p. 101 26. Chapter 13. GLASS all-weather land surface temperature product from MODIS data - p. 109 27. Chapter 14. GLASS LST product from AVHRR data - p. 117 28. Section 1.5. Net radiation and sensible heat flux - p. S5 29. Chapter 15. Three GLASS/Hi-GLASS net radiation products - p. 123 30. Chapter 16. MuSyQ 1km hourly surface radiation budget products for the Tibetan Plateau and Southwestern China - p. 133 31. Chapter 17. GLASS 1km daily sensible heat flux and land surface—air temperature difference products from 2000–2020 - p. 141 32. Section 1.6. Atmospheric aerosol - p. S6 33. Chapter 18. Global long-term total and fine-mode aerosol climate records over land retrieved from multispectral satellites - p. 149 34. Chapter 19. Global land surface 0.5 degrees daily fine- and coarse-mode aerosol optical depth datasets (2001–21) - p. 157 35. Chapter 20. Global gap-free daily 1-km resolution aerosol optical depth between 2000 and 2024 - p. 165 36. Chapter 21. Global gap-free daily 1-km resolution PM2.5 concentrations during 2000–2021 - p. 177 37. Terrestrial ecosystem and carbon cycle - p. P2 38. Section 2.1. Leaf area index and FAPAR - p. S7 39. Chapter 22. The 20m, 5-day Hi-GLASS LAI/FAPAR products - p. 189 40. Chapter 23. MODIS&VIIRS LAI/FPAR - p. 195 41. Chapter 24. The 250m, 8-day GLASS LAI product - p. 209 42. Chapter 25. The ESA CCI vegetation variables time series: A joint sensor approach using OptiSAIL - p. 213 43. Chapter 26. GLOBMAP LAI: A long-term consistent global leaf area index dataset from combined AVHRR and MODIS data - p. 225 44. Chapter 27. The global LAI, FAPAR, FCOVER 1km version 1 (GEOV1) products of the Copernicus Land Monitoring Service - p. 231 45. Chapter 28. The global LAI, FAPAR, FCOVER 1km version 2 (GEOV2) products of the Copernicus Land Monitoring Service - p. 239 46. Chapter 29. The global long-term LAI, FAPAR, FCOVER 0.05 degrees GEOV2-AVHRR products from the THEIA land data center - p. 247 47. Chapter 30. The global LAI, FAPAR, FCOVER 300m Version 1 products of the Copernicus Land Monitoring Service - p. 253 48. Chapter 31. The 250, 8-day GLASS FAPAR product - p. 261 49. Chapter 32. Hi-GLASS FAPAR product - p. 265 50. Section 2.2. Fraction of vegetation cover - p. S8 51. Chapter 33. GLASS fractional vegetation cover (FVC) products - p. 273 52. Chapter 34. Hi-GLASS 30 m 16-day FVC product - p. 277 53. Chapter 35. A 30m 15-day Fractional Vegetation Cover product over China from 2010 to 2022 - p. 283 54. Chapter 36. The global EUMETSAT EPS/AVHRR vegetation products: LAI, FVC, and FAPAR - p. 289 55. Section 2.3. Fraction of forest cover - p. S9 56. Chapter 37. GLOBMAP FTC: A global fractional tree cover product - p. 299 57. Chapter 38. GLASS 250m 8-day fractional forest cover Product (2000–24) - p. 305 58. Chapter 39. A 30m annual Fractional Forest Cover product over China’s three-North region from 1996 to 2020 - p. 311 59. Chapter 40. Thirty-meter map of global natural and planted forests - p. 317 60. Chapter 41. First prototype maps of Southeast Asia's tropical tree cover (4.77m, annual, 2016–21) using next-gen Earth observation - p. 321 61. Chapter 42. China Annual Tree Cover Dataset (CATCD) - p. 329 62. Section 2.4. Canopy clumping index - p. S10 63. Chapter 43. CAS-CI: A global 500m canopy clumping index product derived from MODIS reflectance data - p. 337 64. Chapter 44. MODIS 500 m 8-day/monthly clumping index products - p. 345 65. Section 2.5. Tree height and biomass - p. S11 66. Chapter 45. High-resolution forest stand mean height product - p. 355 67. Chapter 46. GLASS annual high-resolution long-term forest aboveground biomass product - p. 363 68. Chapter 47. Global long-term L-band vegetation optical depth (L-VOD) products from SMOS and SMAP - p. 369 69. Chapter 48. INRAE-BORDEAUX ASCAT vegetation optical depth (ASCAT C-VOD) - p. 381 70. Section 2.6. Gross primary production - p. S12 71. Chapter 49. GLASS 8-day 500m/0.05degrees vegetation gross primary production (GPP) products from MODIS (2000–24) and AVHRR (1982–2018) data - p. 393 72. Chapter 50. Global daily GPP simulated by VPM3.0 with MODIS and ERA5 climate data - p. 403 73. Chapter 51. Global hourly total canopy SIF emission and SIF-based GPP products (2000–2022) - p. 409 74. Section 2.7. Vegetation indices - p. S13 75. Chapter 52. The 250, 8-day GLASS vegetation index products - p. 417 76. Chapter 53. The fourth-generation GIMMS vegetation index product collection - p. 421 77. Section 2.8. Vegetation phenology - p. S14 78. Chapter 54. Fractional shrub abundance product in Inner Mongolia, China - p. 429 79. Chapter 55. The GLASS global annual 500m vegetation productivity phenology product from 2000 to 2020 - p. 435 80. Chapter 56. An annual 30m urban vegetation phenology product over conterminous United States from 1985–2015 - p. 443 81. Chapter 57. Global land surface phenology product from VIIRS observations - p. 451 82. Chapter 58. The High-Resolution Vegetation Phenology and Productivity (HR-VPP) dataset of the Copernicus Land Monitoring Service - p. 465 83. Chapter 59. A 30m product of young forest ages over China in 2020 - p. 477 84. Chapter 60. GLOBMAP LCC: Global vegetation leaf chlorophyll content products from MERIS and MODIS - p. 481 85. Chapter 61. The global annual land surface phenology (GALSP) product from AVHRR data (1982–2018) - p. 491 86. Section 2.9. Ecological products - p. S15 87. Chapter 62. The high-resolution global leaf chlorophyll content product: MuSyQ global LCC - p. 499 88. Chapter 63. A global long-term land surface parameter record derived using AMSR-E and AMSR2 - p. 507 89. Water cycle and cryosphere - p. P3 90. Section 3.1. Surface water - p. S16 91. Chapter 64. GLOBMAP SWF: A global annual surface water cover frequency dataset during 2000–2020 - p. 519 92. Chapter 65. A 10m China water cover product in 2020 - p. 525 93. Chapter 66. Inventory of Chinese reservoirs and storage capacity - p. 533 94. Chapter 67. GLAKES: A 30m global lake surface area product from 1984–2019 - p. 543 95. Chapter 68. GLAST: A daily global lake surface water temperature product from 1981–2099 - p. 551 96. Chapter 69. The surface water level, area and storage dynamics products of 338 Chinese major reservoirs from 2010–2021 - p. 557 97. Section 3.2. Soil moisture - p. 563 98. Chapter 70. INRAE Bordeaux global soil moisture products from SMOS and SMAP - p. 567 99. Chapter 71. GLASS 1km daily soil moisture product (2000–2020) - p. 577 100. Chapter 72. A global gap-free 1km daily surface soil moisture product from 2000 to 2020 - p. 585 101. Chapter 73. SMOS soil moisture product - p. 593 102. Chapter 74. Spatially seamless, daily SMAP surface soil moisture dataset from 2015 to 2021 (SSD_SMAP) - p. 607 103. Chapter 75. Historical SMAP surface soil moisture dataset from 1979 to 2015 (Hist_SMAP) - p. 611 104. Chapter 76. Global 9km, 8-day SMAP surface soil moisture dataset from 2015 to 2020 (VIPSTF-SW9) - p. 615 105. Chapter 77. SGD-SM: A global seamless 0.25° daily soil moisture product from 2002 to 2022 - p. 621 106. Chapter 78. An enhanced global 36km SMAP soil moisture product from 2015 to 2021 - p. 627 107. Chapter 79. GLASS-AVHRR 5km seamless soil moisture product (1982–2021) - p. 635 108. Section 3.3. Evapotranspiration - p. S17 109. Chapter 80. GLASS MODIS (1km, 2000–2020) and AVHRR (0.05°, 1981–2020) 8-day ET products - p. 645 110. Chapter 81. Hi-GLASS ET product - p. 651 111. Chapter 82. HG-Land ET: A global 0.5 degrees monthly highly generalized land evapotranspiration product (1982–2018) - p. 655 112. Section 3.4. Irrigation - p. S18 113. Chapter 83. A global monthly 0.25° irrigation water use product (2011–18) based on multisource satellite data - p. 663 114. Chapter 84. GMIE: Global maximum irrigated cropland extent at 100 m resolution - p. 669 115. Chapter 85. CIrrMap250: An annual 250m irrigated cropland product over China from multiple sources (2000–2020) - p. 679 116. Chapter 86. LANID—The first annual, nationwide, field-level irrigation maps at 30 m resolution from 1997 to 2025 for the United States - p. 685 117. Chapter 87. Three high-resolution (1 and 6 km) weekly regional irrigation water use data sets - p. 691 118. Section 3.5. Cryosphere - p. S19 119. Chapter 88. A 5km snow cover phenology changes product from 2000 to 2020 over North Hemisphere - p. 701 120. Chapter 89. MODIS and VIIRS snow-cover extent products - p. 707 121. Chapter 90. Glacier mapping from multispectral satellite sensors - p. 715 122. Chapter 91. The NIEER gap-free 5km daily AVHRR snow cover extent product over China from 1980 to 2020 - p. 723 123. Chapter 92. Two 0.25 degrees daily snow depth products: A fused time series over the Northern Hemisphere and multisensor retrievals over China - p. 733 124. Chapter 93. GLIP: A global lake ice phenology product from 2001 to 2020 using MODIS data - p. 741 125. Chapter 94. HMRFS-TP: A long-term (2002–22) 500m daily gap-free snow cover product over the Tibetan Plateau - p. 749 126. Chapter 95. MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian water tower region (2000–2022) - p. 755 127. Chapter 96. Permafrost thermal state and distribution products in the Northern Hemisphere - p. 761 128. Chapter 97. A daily 10km gridded snow water equivalent product for the land region above 45 degrees N from 1979 to 2019 - p. 769 129. Chapter 98. A daily 25km snow water equivalent dataset from 1980 to 2020 over China - p. 775 130. Chapter 99. The 2010 1km permafrost distribution product of the Qinghai-Tibet Plateau - p. 779 131. Chapter 100. A 1km permafrost distribution product over the Tibetan Plateau - p. 787 132. Chapter 101. A 1km permafrost temperature (15m in depth) product over the Tibetan Plateau from 2010 to 2019 - p. 791 133. Chapter 102. A 1km ground ice dataset over the permafrost regions of Tibetan Plateau - p. 795 134. Chapter 103. A 1km surface soil liquid water content product over bare soil and grassland of Tibetan Plateau from 2017–2021 - p. 799 135. Chapter 104. A 1km vegetation types distribution product in permafrost region of the Tibetan Plateau - p. 805 136. Land cover and land use - p. P4 137. Section 4.1. Global land cover - p. S20 138. Chapter 105. A global 30m land-cover dynamic product with fine classification system - p. 813 139. Chapter 106. A 30m Global Land Cover Dataset (GLC-2015) by fusing multiple existing products - p. 819 140. Chapter 107. CRLC: a 10m land cover product over China for 2020 using historical product-driven cross-resolution land-cover deep learning mapping - p. 827 141. Chapter 108. A 10-m resolution global mangrove forest distribution product for 2020 - p. 835 142. Chapter 109. CMFM15: A 30m mangrove forests product over China in 2015 using time-series Landsat and Sentinel-1A imagery - p. 841 143. Section 4.2. Cropping - p. S21 144. Chapter 110. GCI30: A global 30m cropping intensity product from 2016–2023 - p. 851 145. Chapter 111. A 20m paddy rice cropping intensity, intercropping status, and cropping calendar product from 2018–2021 over Monsoon Asia - p. 859 146. Chapter 112. The FAO global 10–30m cropland extent agreement map for year 2020 - p. 865 147. Chapter 113. FAO global agricultural drought monitoring datasets - p. 871 148. Chapter 114. A global 10m plastic-mulched cropland dataset in 2022 - p. 879 149. Chapter 115. ChinaCUI: Long-term Cropland use intensity datasets in China (1982–2024) - p. 885 150. Chapter 116. GloCAB: the first global cropland burned area product at 0.25 degrees resolution from 2002 to 2020 - p. 891 151. Chapter 117. ChinaWheatYield30m: A 30m winter wheat yield dataset (2016–2021) in China - p. 897 152. Chapter 118. The global 500m synergy cropland map in 2010 - p. 903 153. Chapter 119. AsiaWheat: A 250 m annual Asian fractional wheat cover product from 2001 to 2023 - p. 911 154. Chapter 120. Annual 30m rice cover product for Monsoon Asia from 2018 to 2023 - p. 917 155. Section 4.3. Wild fires and forest management - p. S22 156. Chapter 121. Global and regional burned area products from the ESA Climate Change Initiative - p. 927 157. Chapter 122. A global 250 m annual product of forest management types from 2001–2020 - p. 935 158. Section 4.4. Topography and climate zones - p. S23 159. Chapter 123. Terrestrial and planetary digital elevation models from stereo and deep learning from SPOT, MEX-HRSC, MRO-CTX, MRO-HiRISE, and LRO-NAC - p. 943 160. Chapter 124. Global 1kmKöppen-Geiger climate zone products from 1979–2099 - p. 955 161. Urban environment - p. P5 162. Section 5.1. Impervious surface - p. P5 163. Chapter 125. Global 30m long-term (1985-present) annual impervious surface and multi-temporal built-up boundary products - p. 975 164. Chapter 126. GISA: Long-term and high-resolution (10–30m) annual global impervious surface area products (1972–2024) - p. 981 165. Section 5.2. Building heights - p. S24 166. Chapter 127. 3D-GloBFP: a three-dimensional global building footprint product in 2020 - p. 995 167. Chapter 128. A 2.5m annual building rooftop area product over China (2016–2021) - p. 1001 168. Section 5.3. Urban land use and night-light derived products - p. S26 169. Chapter 129. Land use mapping: Definitions, methodologies, assessments, and applications - p. 1011 170. Chapter 130. A 10-m, 10-day urban greenspace product of global 1028 major cities from 2019–2022 - p. 1019 171. Chapter 131. A 10m wetland product of six Chinese cities in 2015 and 2020 - p. 1025 172. Chapter 132. A global 1km resolution annual rural–urban continuum product from 2000 to 2020 - p. 1029 173. Chapter 133. Black marble nighttime light product suite - p. 1037 174. Chapter 134. GUN: High-resolution global urban land-use benchmark dataset and automatic mapping - p. 1047 175. Index - p. 1055
