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<p>A new global satellite-based climate classification system, ClimSat, uses long-term Earth observation records. The ClimSat System creates a global classification framework using biophysical variables from MODIS/Terra+Aqua and TerraClimate on Google Earth Engine, including NDVI, LST, pr, and pet. Frequency-based methods capture persistent environmental influences and inhibit stochastic or transitory occurrences. This semi-hierarchical Dual Structural-Modality system measures structure cover and greenness persistence in a 16-class Vegetation System using NDVI. A multi-level thermal regime is created by each pixel representing one of four severe temperature bands: permafrost, cold, temperate, and hot. Rainfall Adequacy Index (RAI) describes desert, semi-arid, humid, and super-humid humidity. The ClimSat System, a 64-class global climatological scheme; the Vegetation System, which shows Structure and Modality-based vegetation regimes; the Thermo-Drought System, which shows locations with combined heat-moisture stresses; and the Blue-Green Water System, an index of hydrological-vegetation coupling, are other global products of integration. ClimSat demonstrates quantitatively higher ecological characterisation accuracy in ecotonal, and irrigated-landscape regions compared to Köppen-Geiger, as evidenced by a Kappa coefficient of 0.73 for thermal-moisture class agreement and improved transition-zone gradients in five globally representative ecotones. High-resolution satellite data from several sources and systems and temporal persistence techniques reveal fine-scale ecological regime shifts. ClimSat products give an ecologically relevant climate risk and Earth system change baseline. The classification also supports biodiversity conservation, sustainable agriculture, water management, resource planning, and climate change adaptation. The dynamic, observation-driven ClimaSat System describes climate-vegetation-water interactions. This system enhances climate change research, ecological assessments, drought surveillance, sustainable agriculture, water resource management, and land-use planning worldwide.</p>

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The ClimSat classification system—a global climate classification map based on long-term satellite-derived data

  • 期刊论文

  • 发表日期：

    2026年5月4日

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  • Mohammed El-Shirbeny

摘要

A new global satellite-based climate classification system, ClimSat, uses long-term Earth observation records. The ClimSat System creates a global classification framework using biophysical variables from MODIS/Terra+Aqua and TerraClimate on Google Earth Engine, including NDVI, LST, pr, and pet. Frequency-based methods capture persistent environmental influences and inhibit stochastic or transitory occurrences. This semi-hierarchical Dual Structural-Modality system measures structure cover and greenness persistence in a 16-class Vegetation System using NDVI. A multi-level thermal regime is created by each pixel representing one of four severe temperature bands: permafrost, cold, temperate, and hot. Rainfall Adequacy Index (RAI) describes desert, semi-arid, humid, and super-humid humidity. The ClimSat System, a 64-class global climatological scheme; the Vegetation System, which shows Structure and Modality-based vegetation regimes; the Thermo-Drought System, which shows locations with combined heat-moisture stresses; and the Blue-Green Water System, an index of hydrological-vegetation coupling, are other global products of integration. ClimSat demonstrates quantitatively higher ecological characterisation accuracy in ecotonal, and irrigated-landscape regions compared to Köppen-Geiger, as evidenced by a Kappa coefficient of 0.73 for thermal-moisture class agreement and improved transition-zone gradients in five globally representative ecotones. High-resolution satellite data from several sources and systems and temporal persistence techniques reveal fine-scale ecological regime shifts. ClimSat products give an ecologically relevant climate risk and Earth system change baseline. The classification also supports biodiversity conservation, sustainable agriculture, water management, resource planning, and climate change adaptation. The dynamic, observation-driven ClimaSat System describes climate-vegetation-water interactions. This system enhances climate change research, ecological assessments, drought surveillance, sustainable agriculture, water resource management, and land-use planning worldwide.