Results 131 to 140 of about 24,170 (162)

Relation between the normalized difference vegetation index and ecological variables

Remote Sensing of Environment, 1991
Abstract 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
openaire   +1 more source

Infrared Normalized Difference Vegetation Index for Sentinel-2A Imagery

2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2020
Normalized Difference Vegetation Index (NDVI) is widely applied in several applications. It can be used to classify or identify the land coverage. However, the haze and cloud often disturb the accuracy of this value, which decreases the application performance.
openaire   +1 more source

A Simplified Atmospheric Correction Procedure for the Normalized Difference Vegetation Index

Photogrammetric Engineering & Remote Sensing, 2003
Accurate 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
openaire   +1 more source

On the Use of the Normalized Difference Vegetation Index as an Indicator of Rainfall

1994
The 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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Simulating the relationship between thermal emissivity and the Normalized Difference Vegetation Index

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
openaire   +2 more sources

Optimum Monitoring Time for the Normalized Difference Vegetation Index of Crops

Transactions of the ASABE, 2015
Influenced 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,
openaire   +1 more source

Application of Normalized Difference Vegetation Index (NDVI) for the Detection of Extreme Precipitation Change

Forests, 2021
Yi Zhou, Fengsong Pei
exaly  

Seasonal impact on the relationship between land surface temperature and normalized difference vegetation index in an urban landscape

Geocarto International, 2022
Subhanil Guha, Himanshu Govil
exaly  

[Correlation analysis on normalized difference vegetation index (NDVI) of different vegetations and climatic factors in Southwest China].

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, Xiao-He, Zhang, Shi-Rong, Liu   +2 more
openaire   +1 more source

On the relationship between normalized difference vegetation index and land surface temperature: MODIS-based analysis in a semi-arid to arid environment

Geocarto International, 2021
Salahuddin Jaber
exaly