Results 61 to 70 of about 59,716 (313)

What drives animal responses to high severity fire? The role of functional traits

open access: yesBiological Reviews, EarlyView.
ABSTRACT Fire regimes are changing worldwide, with increases in the frequency, extent, and severity of fires posing growing risks to biodiversity. Fire severity – the degree of habitat alteration following fire – strongly influences both immediate survival and long‐term recovery of fauna.
Grace A. Vielleux   +3 more
wiley   +1 more source

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

A táblaheterogenitás vizsgálata Lucerna NDVI adatsor alapján Homokhátságon

open access: yes, 2022
A dolgozat bemutatja a precíziós mezőgazdaság kialakulásának történetét és jelenlegi helyzetét. Ismerteti a precíziós módszereknek köszönhető technikai újítások, ezen belül a műholdas távérzékelés szerepét.
Ország, Imre
core  

Pre‐industrial land‐use limits contemporary shrub encroachment in the French Alps

open access: yesEcography, EarlyView.
Shrub encroachment has become a global phenomenon in recent decades. While global warming in the Arctic is often cited as the primary cause, human‐managed mountain regions have experienced intense historical land‐use that may also play a considerable role.
Baptiste Nicoud   +6 more
wiley   +1 more source

Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture

open access: yesGeological Journal, EarlyView.
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi   +3 more
wiley   +1 more source

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

Genomic selection for nitrogen use efficiency in perennial ryegrass (Lolium perenne L.) under field conditions

open access: yesGrassland Research, EarlyView.
There is genetic variation in ryegrass for the ability to respond to nitrogen fertilizer, Breeding nitrogen use efficient cultivars can increase farm profitability and sustainability. Abstract Background Improving the nitrogen use efficiency (NUE) of pastures has the benefit of reducing costs of production and reducing nitrogen loss to the environment.
Junping Wang   +6 more
wiley   +1 more source

Crop NDVI Monitoring Based on Sentinel 1 [PDF]

open access: yesRemote Sensing, 2019
Monitoring agricultural crops is necessary for decision-making in the field. However, it is known that in some regions and periods, cloud cover makes this activity difficult to carry out in a systematic way throughout the phenological cycle of crops. This circumstance opens up opportunities for techniques involving radar sensors, resulting in images ...
Roberto Filgueiras   +4 more
openaire   +2 more sources

Temperature and heat‐load exposure effects on preterm births: Insights from a population‐based study using distributed lag non‐linear models

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective Preterm birth presents a substantial health, psychological, and economic burden worldwide. Environmental factors, including temperature fluctuations, are known to influence the risk of preterm birth. This study aimed to investigate the association between high temperatures and heat load and preterm births. Methods Using a time‐series
Bernard Barzilay   +4 more
wiley   +1 more source

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