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Relation between the normalized difference vegetation index and ecological variables
Remote Sensing of Environment, 1991Abstract The objectives of this study were to analyze the relationship between the AVHRR data [transformed into a normalized difference vegetation index (NDVI)] and ecological variables and, secondly, to evaluate the possibility of estimating actual evapotranspiration using AVHRR and other readily available data.
J. Cihlar, L. St.-Laurent, J.A. Dyer
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A Simplified Atmospheric Correction Procedure for the Normalized Difference Vegetation Index
Photogrammetric Engineering & Remote Sensing, 2003Accurate corrections of the Normalized Difference Vegetation Index (NDVI) for atmospheric effects are currently based on modeling the physical behavior of radiation as it passes through the atmosphere. An important requirement for application of the physical models is detailed information on atmospheric humidity and particles.
Jie Song, Duanjun Lu, M.L. Wesely
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International Journal of Remote Sensing, 1995
Abstract An experimental relation between the thermal ermssrvity and the Normalized Difference Vegetation Index of vegetation canopies has been found by van de Griend and Owe. This relationship is investigated by means of aradiative transfer model. The relationship was highly sensitive to soil and leaf emissivities, canopy structure, optical properties
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Abstract An experimental relation between the thermal ermssrvity and the Normalized Difference Vegetation Index of vegetation canopies has been found by van de Griend and Owe. This relationship is investigated by means of aradiative transfer model. The relationship was highly sensitive to soil and leaf emissivities, canopy structure, optical properties
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On the Use of the Normalized Difference Vegetation Index as an Indicator of Rainfall
1994The remotely sensed Normalized Difference Vegetation Index, or NDVI, is being used operationally to evaluate rainfall and vegetation growth. It shows a good relationship to these variables in relatively dry locations, but the index saturates under humid conditions.
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Optimum Monitoring Time for the Normalized Difference Vegetation Index of Crops
Transactions of the ASABE, 2015Influenced by such factors as air temperature, humidity, solar radiation, and soil moisture, the normalized difference vegetation index (NDVI) for remote sensing of vegetation always changes dynamically within a day. Therefore, choosing the proper time to monitor the index is very important so as to minimize the effects of these factors. In this study,
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Ying yong sheng tai xue bao = The journal of applied ecology, 2012
Based on the 1982-2006 NDVI remote sensing data and meteorological data of Southwest China, and by using GIS technology, this paper interpolated and extracted the mean annual temperature, annual precipitation, and drought index in the region, and analyzed the correlations of the annual variation of NDVI in different vegetation types (marsh, shrub, bush,
Yuan-Dong, Zhang +2 more
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Based on the 1982-2006 NDVI remote sensing data and meteorological data of Southwest China, and by using GIS technology, this paper interpolated and extracted the mean annual temperature, annual precipitation, and drought index in the region, and analyzed the correlations of the annual variation of NDVI in different vegetation types (marsh, shrub, bush,
Yuan-Dong, Zhang +2 more
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International Journal of Applied Earth Observation and Geoinformation, 2021
Yuean Qiu, Junxiong Zhou, Jin Chen
exaly
Yuean Qiu, Junxiong Zhou, Jin Chen
exaly

