نتایج جستجو برای: normalized difference vegetation index

تعداد نتایج: 857371  

2004
Guiling Wang Liangzhi You

[1] This study examines the relationship between the North Atlantic Oscillation (NAO) and vegetation productivity in Asia inferred from both provincial crop yields data in China and satellite-derived Normalized Difference Vegetation Index data. Our finding suggests that vegetation productivity in northern Asia during the main growing season correlates significantly to NAO, with a surprising lon...

2011
S. Jamali J. W. Seaquist

This study investigates temporal relationships between vegetation growth, rainfall, and soil moisture for six sites located in sub-Saharan and southern Africa for the period 2005-2009. Specifically, seasonal components of time series of Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) composites from the Moderate Resolution Imaging Spectroradiometer (MODIS) and ...

Journal: Desert 2019
H. Azarnivand H. Khosravi, M. Behrang Manesh P. Dehghana S. Ahmadi

     Drought is a disaster phenomenon especially in arid and semi-arid areas. Vegetation and its production play a main role in the social and economic issues in every country. In this study, Standardized Precipitation Index (SPI) and Normalized Difference Vegetation Index (NDVI) data have been used to monitor drought and the vegetation condition in Sonqor Abad in, Kermanshah province.  Meteoro...

2017
Amanda R. Carlson Jason S. Sibold Timothy J. Assal Jose F. Negrón

Spruce beetle (Dendroctonus rufipennis) outbreaks are rapidly spreading throughout subalpine forests of the Rocky Mountains, raising concerns that altered fuel structures may increase the ecological severity of wildfires. Although many recent studies have found no conclusive link between beetle outbreaks and increased fire size or canopy mortality, few studies have addressed whether these combi...

2000
Andrew J. Elmore John F. Mustard Sara J. Manning David B. Lobell

Because in situ techniques for determining vegetation even when applied to areas of low vegetation cover, the SMA approach correctly determined the sense of change abundance in semiarid regions are labor intensive, they usually are not feasible for regional analyses. Remotely (i.e., positive or negative) in 87% of the samples. SMA results are superior to NDVI, which, although correlated sensed ...

Journal: :Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 2019

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