Results 51 to 60 of about 111,427 (210)

Dynamic seasonal analysis on LST-NDVI relationship and ecological health of Raipur City, India

open access: yesEcosystem Health and Sustainability, 2021
Land surface temperature (LST) is a significant component of the ecological health of any city and the LST is closely related to the normalized difference vegetation index (NDVI).
Subhanil Guha
doaj   +1 more source

Contribution of NOAA- AVHRR data to African savan nahs Characterization [PDF]

open access: yes, 2005
The Advanced Very High Resolution Radiometer (AVHRR) is currently used for vegetation monitoring. Information on the state and evolution of the vegetation cover on continental areas is routinely obtained from Global Vegetation Index data (GVI).
Gond, Valéry
core  

Climatic change controls productivity variation in global grasslands. [PDF]

open access: yes, 2016
Detection and identification of the impacts of climate change on ecosystems have been core issues in climate change research in recent years. In this study, we compared average annual values of the normalized difference vegetation index (NDVI) with ...
Ganjurjav, Hasbagan   +8 more
core   +1 more source

Herkennen habitatkwaliteit graslanden o.b.v. NDVI

open access: yes, 2019
De kern van weidevogelbeheer betreft in Nederland het op orde krijgen van de habitatkwaliteit in de graslanden. Eerdere ervaringen laten zien dat NDVI-satellietbeelden een belangrijke rol kunnen spelen om hier gebiedsdekkend inzicht in te krijgen.
Tim Visser   +4 more
openaire   +3 more sources

Detecting and predicting spatial and interannual patterns of temperate forest springtime phenology in the eastern U.S. [PDF]

open access: yes, 2002
We performed a diagnostic analysis of AVHRR-NDVI and gridded, temperature data for the deciduous forests of the eastern U.S., calibrating temperature accumulation model with satellite data for 1982–1993.
Aber, John   +3 more
core   +2 more sources

Geospatial Approach for the Analysis of Forest Cover Change Detection using Machine Learning

open access: yesGeosfera Indonesia, 2020
Spatial data classification is famous over recent years in order to extract knowledge and insights into the data. It occurs because vast experimentation was used with various classifiers, and significant improvement was examined in accuracy and ...
R. Sanjeeva Reddy   +2 more
doaj   +1 more source

Spatial-temporal Evolution Pattern of NDVI and Its Driving Factors in China in Past 40 Years

open access: yesShuitu baochi tongbao, 2022
[Objective] The differences in the dominant driving factors of NDVI evolution in different sub-regions and different historical periods in China were determined in order to provide important decision support for the protection and restoration of ...
Bing Guo   +5 more
doaj   +1 more source

Morphological characteristics and variation of wood, cone and seed productions in the reforestation of Aleppo pine in Northeastern Tunisia using terrestrial and spatial index approaches

open access: yesEkológia (Bratislava), 2019
For several decades, forest management policies have encouraged land cover changes, with the establishment of tree cover such as Aleppo pine in natural or degraded ecosystems for soil protection and the firewood production.
Guemri Raouia El   +6 more
doaj   +1 more source

A multi-temporal phenology based classification approach for Crop Monitoring in Kenya [PDF]

open access: yes, 2019
The SBAM (Satellite Based Agricultural Monitoring) project, funded by the Italian Space Agency aims at: developing a validated satellite imagery based method for estimating and updating the agricultural areas in the region of Central-Africa; implementing
Jahjah, M., Laneve, G., Luciani, R.
core   +1 more source

Predicting Avian Influenza Co-Infection with H5N1 and H9N2 in Northern Egypt. [PDF]

open access: yes, 2016
Human outbreaks with avian influenza have been, so far, constrained by poor viral adaptation to non-avian hosts. This could be overcome via co-infection, whereby two strains share genetic material, allowing new hybrid strains to emerge. Identifying areas
Ali, Mohamed A   +5 more
core   +2 more sources

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