Integrating InVEST and machine learning to model mangrove habitat degradation trend in in Northern Persian Gulf, Iran. [PDF]
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Improving maize LAI estimation by integrating multispectral imagery and digital surface models with ensemble learning. [PDF]
Li W +7 more
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Predicting Enhanced Vegetation Index (EVI) curves for ecosystem modeling applications
Remote Sensing of Environment, 2009Abstract Vegetation indices derived from remote sensing data provide information about the variability in stature, growth and vigor of the vegetation across a region, and have been used to model plant processes. For example, the Enhanced Vegetation Index (EVI) provides a measure of greenness of the vegetation that can be used to predict net primary ...
Stephen Ogle, F Jay Breidt
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Abstract Aerosols have severe effects on climate, human health and ecosystems. The impact of aerosols on climate, ecosystems and human health can be better understood if the variability of optical properties of aerosols is accurately known. In this paper, we have used Moderate Resolution Imaging Spectroradiometer (MODIS) datasets of aerosol optical ...
Usman Mehmood +2 more
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Development of a two-band enhanced vegetation index without a blue band
Remote Sensing of Environment, 2008Abstract The enhanced vegetation index (EVI) was developed as a standard satellite vegetation product for the Terra and Aqua Moderate Resolution Imaging Spectroradiometers (MODIS). EVI provides improved sensitivity in high biomass regions while minimizing soil and atmosphere influences, however, is limited to sensor systems designed with a blue band,
Tomoaki Miura +2 more
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Enhanced mangrove vegetation index based on hyperspectral images for mapping mangrove
ISPRS Journal of Photogrammetry and Remote Sensing, 2022Yong Ge, Gang Yang, Xiangchao Meng
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Soil moisture is a key land surface parameter that reflects conditions of drought in agricultural areas, such that variations in soil moisture significantly impact agricultural production. At a large spatial scale, soil moisture can be indicated using the temperature vegetation drought index (TVDI), which is based on soil moisture monitoring.
Huichao Zhao +5 more
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Fire Recurrence and the Dynamics of the Enhanced Vegetation Index in a Mediterranean Ecosystem
International Journal of Applied Geospatial Research, 2015This study area is located in the eastern littoral of the Iberian Peninsula; its importance resides in its Mediterranean ecosystem, complex topography, extensive land use changes, and intensive forest fires history. The study is done at the landscape level, covering a wide area for an extended period of time.
Dania Abdul Malak +3 more
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Modified enhanced vegetation index for reducing topographic effects
Journal of Applied Remote Sensing, 2015Monitoring the environmental status of mountainous or hilly areas is very important for their great influence on the global ecosystem and humanity. The enhanced vegetation index (EVI) has been widely used in environmental monitoring. It can reduce background and atmospheric noise via its feedback-based format.
Zhanmang Liao, Binbin He, Xingwen Quan
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Vegetation pixels extraction based on red-band enhanced normalized difference vegetation index
SPIE Proceedings, 2016Normalized difference vegetation index, also known as the normalized difference vegetation index, is widely used in the study of vegetation and the research of plant phenology by means of remote sensing image. It is the best indicator of plant growth condition and the spatial distribution of vegetation density, bearing a linear relation with density of
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