نتایج جستجو برای: soil adjusted vegetation index savi

تعداد نتایج: 692864  

Journal: :Int. J. Applied Earth Observation and Geoinformation 2009
J. Norton Nancy F. Glenn M. Germino K. Weber S. Seefeldt

Remote sensing indices of burn area and fire severity have been developed and tested for forest ecosystems, but not sparsely vegetated, desert shrub-steppe in which large wildfires are a common occurrence and a major issue for land management. We compared the performance of remote sensing indices for detecting burn area and fire severity with extensive ground-based cover assessments made before...

2017
Kudzai Shaun Mpakairi Henry Ndaimani Paradzayi Tagwireyi Tawanda Winmore Gara Mark Zvidzai Daphine Madhlamoto

The central role of species competition in shaping community structure in ecosystems is well appreciated amongst ecologists. However species competition is a consistently missing variable in Species Distribution Modelling (SDM). This study presents results of our attempt to incorporate species competition in SDMs. We used a suit of predictor variables including Soil Adjusted Vegetation Index (S...

Journal: :Int. J. Applied Earth Observation and Geoinformation 2014
M. Mirzaie Roshanak Darvishzadeh A. Shakiba A. A. Matkan Clement Atzberger Andrew K. Skidmore

Assessment of vegetation water content is critical for monitoring vegetation condition, detecting plant water stress, assessing the risk of forest fires and evaluating water status for irrigation. The main objective of this study was to investigate the performance of various monoand multi-variate statistical methods for estimating vegetation water content (VWC) from hyper-spectral data. Hyper-s...

Journal: :Cuadernos de investigación geográfica 2022

Desertification is one of the most serious current environmental problems and corresponds to impoverishment decrease moisture in sandy soils located regions with a sub-humid, arid semiarid climate, its main causes related climatic variations resulting negative impacts human activities. Studies show that Brazilian especially Caatinga biome have been suffering an intense process desertification d...

Journal: :journal of rangeland science 2016
adel m. a. mahmoud mohd hasmadi i. alias m. s. mohamad azani a.

the degradation rate of mediterranean steppes, especially in north africa is 1% per year, and this considered as high a rate of degradation. this study conducted in 2014 in the south slope of the al-jabal al-akhdar, northeast libya to quantify the vegetation recovery rate and assess selected vegetation indices (vis) for mapping rangelands degradation status using remote sensing technology. thro...

Journal: :World Journal Of Advanced Research and Reviews 2022

Oil spills in the Niger Delta area can be detected and monitored using this novel technique. Landsat 5 8 images were used to assess various vegetation stress, such as Normalized Difference Vegetation Index, Soil Adjusted Atmospheric Resistant Green Near Infrared Short-wave Infrared, from spill site 2019, non-spill (1992 pre-oil spill) 2020 post-oil events, respectively. There is a substantial d...

Journal: :Remote Sensing 2021

Increasing woody cover and overgrazing in semi-arid ecosystems are known to be the major factors driving land degradation. This study focuses on mapping distribution of slangbos shrub (Seriphium plumosum) a test region Free State Province South Africa. The goal this is monitor encroachment cultivated by synergistically combining Synthetic Aperture Radar (SAR) (Sentinel-1) optical (Sentinel-2) E...

Journal: :Land 2022

In Peru, grasslands monitoring is essential to support public policies related the identification, recovery and management of livestock systems. this study, therefore, we evaluated spatial dynamics in Pomacochas Ventilla micro-watersheds (Amazonas, NW Peru). To do this, used Landsat 5, 7 8 images vegetation indices (normalized difference index (NDVI), enhanced (EVI) soil adjusted (SAVI). The da...

Journal: :Remote Sensing 2021

Surface soil water content (SWC) is a major determinant of crop production, and accurately retrieving SWC plays crucial role in effective management. Unmanned aerial systems (UAS) can acquire images with high temporal spatial resolutions for monitoring at the field scale. The objective this study was to develop an algorithm retrieve by integrating texture into vegetation index derived from UAS ...

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