Temperature-Vegetation Dryness Index (TVDI) is one of the agriculture drought indexes. This paper presents a data composite method which improves the calculation of TVDI through taking the time of pixel into consideration, and the adaptability of TVDI in drought assessment has also enhanced significantly. First, the Normalized Difference Vegetation Index (NDVI) data series are composed by using...

The Temperature Vegetation Dryness Index (TVDI), a drought monitoring index based on an empirical parameterization of the Land Surface Temperature (LST)–Normalized Difference Vegetation Index (NDVI) space, has been widely implemented in a variety of ecosystems worldwide because it does not depend on ancillary data. However, the simulation of dry/wet edges in the TVDI model can be problematic be...

This paper presents a new drought assessment method by spatially and temporally integrating temperQ2 ature vegetation dryness index (TVDI) with regional water stress index (RWSI) based on a synergistic approach. With the aid of LANDSAT TM/ETM data, we were able to retrieve the land-use and land-cover (LULC), vegetation indices (VIs), and land surface temperature (LST), leading to the derivation...

This study proposes a modified vegetation-dependent temperature-vegetation dryness index (TVDI) model for analyzing regional drought disasters in the Beijing-Tianjin-Hebei Metropolitan Region (BTHMR) of China. First, MODIS monthly normalized difference vegetation index (NDVI), land surface temperature (LST) data and land use/cover data (Land cover type2) were pre-processed as a consistent big d...

Soil moisture condition is one of the key parameters in environmental and agricultural modeling. In this paper, a modified triangle method (Ts/VI space) is suggested. Both NDVI and EVI are used in constructing the space. Based on this method we calculated the Temperature-Vegetation Dryness Index (TVDI) using 20 MODIS images (Land surface temperature and vegetation index products) to estimate th...

Two approaches for estimation of remotely sensed land surface temperature, Ts, based on MSG-SEVIRI data have been tested in a semi-arid environment in West Africa. A local algorithm, based on in situ measured Ts and a regional algorithm, based on MODIS LST products. They are both based on the split-window technique and show encouraging results, however applications are limited to the region for...

Understanding how precipitation inter-annually changes and its implication in agricultural drought and production change in winter wheat (Triticum aestivum L.) growth season is critical for crop production in China. MODIS Temperature-Vegetation Dryness Index (TVDI) and daily mean precipitation time series for the main growth season(Feb. to May) of winter wheat from 2000 to 2010 were used to ana...

Understanding how precipitation inter-annually changes and its implication in agricultural drought and production change in winter wheat (Triticum aestivum L.) growth season is critical for crop production in China. MODIS Temperature-Vegetation Dryness Index (TVDI) and daily mean precipitation time series for the main growth season(Feb. to May) of winter wheat from 2000 to 2010 were used to ana...

Drought has the potential to lead forest fires. Forest fires generally occur during dry season when mountain slope experiences a water deficit. identification based on remote sensing is useful for mapping in Arjuno- Welirang and TNBTS (in Bromo Tengger Semeru National Park). This research used Landsat-8 images 118/065 118/066 August November 2015-2018. Validation data were obtained using high r...