• Tidak ada hasil yang ditemukan

Conference paper

N/A
N/A
Protected

Academic year: 2017

Membagikan "Conference paper"

Copied!
12
0
0

Teks penuh

Loading

Gambar

Figure 2. (a) Agro-climatic zones of Bundelkhand region and (b) Agricultural water supply followed in Bundelkhand region
Figure  3. Schematic flow diagram of the methodology followed for Agricultural drought assessment and prediction model
Figure 4. Rain station map, Bundelkhand
Figure 5. Variability of EDI in Bundelkhand in Rabi seasons of years (2000 – 2001) to (2009 – 2010)
+4

Referensi

Garis besar

Dokumen terkait

Such as a strong relationship between wheat yield and NOAA-AVHR NDVI data over an Italian region [10] ; the establishment of a linear regression model to estimate

In this study, we analyzed the time-series Terra/ Aqua MODIS satellite hotspot products spanning from year 2001 to 2013 to unravel the inter- and intra-annual

Present study made use of several ancillary reference datasets like SRTM DEM, MODIS Water mask, DMSP-OLS nighttime lights time series data, AWiFS imagery and Google Earth©

Moreover, those areas with rice crop also have lower range of NDVI values as The International Archives of the Photogrammetry, Remote Sensing and Spatial

The study shows that increase in the gross irrigated area, fertilizer consumption, use of high yielding crop varieties and adoption of agricultural mechanization in terms of

The study also developed reliable regression model for the estimation of LAI, biomass, NPP, C & N storage in dry tropical forests by using NDVI and

The specific objectives of the current study are; (1) to generate composite index of agricultural drought vulnerability based on exposure, sensitivity and adaptive

The specific objectives of this study are to 1 downscale AMSR-E soil moisture based on six MODIS indicators and TRMM precipitation using machine learning, 2 validate the downscaled soil