High-resolution (250 m) dataset for drought assessment in India

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We downscaled MODIS (MOD11A2) LST 1000 m to 250 m using the co-kriging method (Pardo-Igúzquiza et al., 2006), 
and calculated various agriculture drought indices from the downscaled LST and EVI at 250 m.
The downscaled LST was then combined with EVI to evaluate various drought indices over India. 
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################Various Abbreviation ##############################
Land Surface Temperature                    - LST
Enhanced Vegetation Index                    - EVI
Soil Moisture Agriculture Drought Index        - SMADI
Normalized Vegetation Supply Water Index        - NVSWI
Vegetation Health Index                          - VHI
Vegetation Condition Index                    - VCI
Temperature Condition Index                    - TCI
Moderate Resolution Imaging Spectroradiometer - MODIS
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Downscaled LST at 250m
The "Downscaled_method" folder consist of original 1000 m MODIS (LST_1000m_MODIS.nc) and downscaled 250 m LST (LST_250m_Downscale.nc) data.
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Various Drought Indices for India during 2002 drought (Folder: Drought_Indices)
Here all the data names are represented as Julian day with corresponding year and Drought Index. 
Example:- File name: NVSWI02033.nc; Drought Index - "NVSWI"; year - "02"; Julian day- "033"
For VHI, VCI, TCI, and NVSWI, values closer to 100 represent very healthy and value close to zero represent extreme stress
For SMADI, values closer to 5 represent very healthy and value close to zero represent extreme stress.
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Time series of NVSWI between 2000 and 2017 (Folder: NVSWI)
Here all the data names are represented as Julian day with corresponding year and Drought Index. 
Example:- File name: NVSWI02033.nc; Drought Index - "NVSWI"; year - "02"; Julian day- "033"
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