Crop yield models using different VIs (vegetation index) from remote sensing data show the various precision, but each of them can provide useful information related with yield. So it is very significant how to integrate the useful information of these models. In this study, a few of typical VIs, such as NDVI (Normalized Difference Vegetation Index), SR (Simple Ratio index), TCARI/OSAVI (Trans-...

Quantifying soil pH at manifold spatio-temporal scales is critical for examining the impacts of global change on quality. It still unclear whether meteorological data and normalized difference vegetation index (NDVI) can be used to quantify in grasslands. Here, nine methods (i.e., RF: random-forest, GLR: generalized-linear-regression, GBR: generalized-boosted-regression, MLR: multiple-linear-re...

Accurate estimation of green aboveground biomass in arid and semiarid grassland is essential for a variety of studies, such as sustainable grassland management, fire risk assessment, climate change, and environmental degradation. A great need exists for the establishment of robust method for estimating green aboveground biomass in arid and semiarid grassland due to the influences of soil backgr...

in this article, new index, the optimized synthetized drought index (osdi), is suggested for real-time monitoring of this phenomenon in areas with heterogeneous land covers. the precipitation, one of the important factors in drought, measured by ground stations and improved bytrmm satellite data. each of the three normalized moisture indices, including normalized difference vegetation index (nd...

WenHao Ou, Wei Su ** , Chen Wu, ZhongZheng Zhu, YanMin Li, Shi Shen (Collage of Information and Electrical Engineering, China Agricultural University, Beijing, 100083) Abstract:Landsat TM5 images are used to calculate and retrieve normalized difference vegetation index (NDVI) and land surface temperature (LST). Combining with two index mentioned, vegetation temperature condition index (VTCI) ca...