Results 31 to 40 of about 24,170 (162)

Change detection in Southern Turkey using normalized difference vegetation index (NDVI)

open access: yesJournal of Environmental Engineering and Landscape Management, 2013
This study analyzed landscape changes in the Mediterranean using remotely sensed satellite images. Bitemporal Thematic Mapper (TM) scenes of Erdemli (Southern Turkey) acquired by Landsat satellites were analyzed to detect landscape changes in the study ...
Hakan Alphan, M. Ali Derse
doaj   +1 more source

Drought Monitoring With Spectral Indices Calculated From Modis Satellite Images In Hungary

open access: yesJournal of Environmental Geography, 2015
In this study a new remote sensing drought index called Difference Drought Index (DDI) was introduced. DDI was calculated from the Terra satellite’s MODIS sensor surface reflectance data using visible red, near-infrared and short-wave-infrared spectral ...
Gulácsi András, Kovács Ferenc
doaj   +1 more source

Normalized Difference Vegetation Index (NDVI) in Assessment of Grain Crop State [PDF]

open access: yesBIO Web of Conferences
The results of studying the dynamics of the NDVI of winter triticale crops in the conditions of the Northwest of Russia are presented. The NDVI was determined based on remote sensing data obtained by two methods including satellite imagery and aerial ...
Bevz Svetlana Ya.   +2 more
doaj   +1 more source

VEGETATION INDICES FOR IRRIGATED CORN MONITORING [PDF]

open access: yesEngenharia Agrícola, 2020
Monitoring of large agricultural lands is often hampered by data collection logistics at field level. To solve such a problem, remote sensing techniques have been used to estimate vegetation indices, which can subsidize crop management decision-making ...
Francisco C. G. Alvino   +4 more
doaj   +1 more source

Evaluating Potential of MODIS-based Indices in Determining “Snow Gone” Stage over Forest-dominant Regions

open access: yesRemote Sensing, 2010
“Snow gone” (SGN) stage is one of the critical variables that describe the start of the official forest fire season in the Canadian Province of Alberta. In this paper, our objective is to evaluate the potential of MODIS-based indices for determining the ...
Navdeep S. Sekhon   +2 more
doaj   +1 more source

Vegetation Growth Dynamic and Sensitivity to Changing Climate in a Watershed in Northern China

open access: yesRemote Sensing, 2022
Global climate change profoundly influences the patterns of vegetation growth. However, the disparities in vegetation responses induced by regional climate characteristics are generally weakened in large-scale studies.
Wenxu Cao, Hang Xu, Zhiqiang Zhang
doaj   +1 more source

Assessment of vegetal cover changes using Normalized Difference Vegetation Index (NDVI) and subtractive (NDVI) time-series, Karbala province, Iraq

open access: yesIraqi Journal of Physics, 2018
Karbala province regarded one part significant zones in Iraq and considered an economic resource of vegetation such as trees of fruits, sieve and other vegetation.
Israa J. Muhsin
doaj   +1 more source

Analyzing the correlation of forest and wetland with land surface temperature by using geospatial technology: a case of Yayo district, Southwestern Ethiopia

open access: yesGeocarto International, 2023
Forests and wetlands played a crucial role in minimizing the increasing trends of land surface temperature (LST). This study aimed to analyze the contribution of forests and wetlands on LST in Yayo district using multi-spectral and multi-temporal ...
Mitiku Badasa Moisa   +7 more
doaj   +1 more source

Characterization of Planetscope-0 Planetscope-1 surface reflectance and normalized difference vegetation index continuity

open access: yesScience of Remote Sensing, 2021
Planetscope data are acquired from a constellation of low-cost satellites to provide 3 ​m red, green, blue, and near infrared (NIR) data with near-daily global coverage.
H. Huang, D.P. Roy
doaj   +1 more source

Band-Based Best Model Selection for Topographic Normalization of Normalized Difference Vegetation Index Map [PDF]

open access: yesIEEE Access, 2020
Topographic effect in remote sensing images is severe in high mountainous areas. Efficiently to reduce the effects, several topographic normalization models have been proposed. Since the performance of the models is largely dependent on the spectral band and land surface type, the best performance model can vary from image to image in an area as well ...
Sung-Hwan Park, Hyung-Sup Jung
openaire   +2 more sources

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