Remote sensing offers an efficient and reliable means of collecting the information required, in order to map crop type and acreage. Besides providing a synoptic view, remote sensing can provide structure information about the health of the vegetation. The spectral reflectance of a field will vary with respect to changes in the phenology (growth), stage type, and crop health, and thus can be me...

The total biomass of a tall fescue (Festuca arundinacea var. Fletcher) pasture was assessed by using a vehicle mounted light detection and ranging (LiDAR) unit to derive canopy height and an active optical reflectance sensor to determine the spectro-optical reflectance index, normalized difference vegetation index (NDVI). In a random plot design, measurements of NDVI and pasture height were com...

Vegetation health and vigor can be assessed with data from multiand hyperspectral airborne and satelliteborne sensors using index products such as the normalized difference vegetation index (NDVI). Recent advances in unmanned aerial systems (UAS) technology have created the opportunity to access these same image data sets in a more cost effective manner with higher temporal and spatial resoluti...

Understanding the spatial and temporal dynamics of vegetation is essential in drylands. In this paper, we evaluated three vegetation indices, namely the Normalized Difference Vegetation Index (NDVI), the Soil-Adjusted Vegetation Index (SAVI) and the Enhanced Vegetation Index (EVI), derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) Surface-Reflectance Product in the Xinjiang...

because of large-scale dry regions, salt marsh monitoring is necessary using of remote sensing data's. the aim of this study is to monitor salt kashan using of satellite data's processing. therefore, the satellite images of lissiii sensor were used. initially, the technique of color composite images envi4.8 software was used to clearly distinguish salt. then, principal component analy...

Satellite observations of surface reflected solar radiation contain information about variability in the absorption of solar radiation by vegetation. Understanding the causes of variability is important for models that use these data to drive land surface fluxes or for benchmarking prognostic vegetation models. Here we evaluated the interannual variability in the new 30.5-year long global satel...

The covariability between the interannual changes of Normalized Difference Vegetation Index (NDVI) and actual evapotranspiration was examined. This study employed NDVI datasets from the Pathfinder AVHRR Land (PAL) data and the Global Inventory Monitoring and Modeling Studies (GIMMS) group to reduce the uncertainty that may be involved in the NDVI time series. The analysis was carried out for th...

Upscaling ecological information to larger scales in space and downscaling remote sensing observations or model simulations to finer scales remain grand challenges in Earth system science. Downscaling often involves inferring subgrid information from coarse-scale data, and such ill-posed problems are classically addressed using regularization. Here, we apply two-dimensional Tikhonov Regularizat...

This paper describes the long-term effects on vegetation following the catastrophic fire in 1987 on the northern Great Xing’an Mountain by analyzing the AVHRR GIMMS 15-day composite normalized difference vegetation index (NDVI) dataset. Both temporal and spatial characteristics were analyzed for natural regeneration and tree planting scenarios from 1984 to 2006. Regressing post-fire NDVI values...

From winter 2009 to spring 2010, due to decreasing precipitation and high temperature, Southwest China experienced the worst meteorological drought in 60 years. The drought has impacted large areas of Guizhou, Yunnan, Guangxi and Sichuan provinces. In this paper, climate data (precipitation and temperature) and SPOT VGT Normalized Difference Vegetation Index (NDVI) data were combined with land ...