Results 21 to 30 of about 59,716 (313)

Estimation of changes in bioclimatic potential values on the territory of Belarus using normalised difference vegetation index (NDVI)

open access: yesЖурнал Белорусского государственного университета: География, геология, 2021
Relations between bioclimatic potential changes and changes in state of crops have been analysed. NDVI (normalised difference vegetation index) and biological productivity parameter by D. I. Shashko (Bk) were used for this purpose. Average values of both
Vladimir F. Loginov   +1 more
doaj   +1 more source

Estimation of vegetation traits with kernel NDVI

open access: yesISPRS Journal of Photogrammetry and Remote Sensing, 2023
Vegetation indices computed from spectral signatures are vastly used for monitoring the terrestrial biosphere. Indices are convenient proxies for canopy structure, and leaf pigment content, and consequently to estimate the photosynthetic activity of vegetation.
Qiangjin, WANG   +4 more
openaire   +2 more sources

بررسی اثرات الگوی رگبار و ویژگی‌های منطقه بر رسوبدهی حوزه آبخیز [PDF]

open access: yesMuhandisī va mudirīyyat-i ābkhīz, 2023
مقدمهخاک یکی از مهمترین منابع طبیعی هر کشور است که نقش کلیدی در امنیت غذایی، اقتصاد ملی و کشاورزی پایدار ایفا می­‌کند. فرسایش خاک، از بارزترین عوامل هدررفت خاک است که فرسایش بارانی از شکل­‌های مهم آن است.
پریسا فتاح   +2 more
doaj   +1 more source

MODELING WHEAT YIELD BY USING PHENOLOGYCAL METRICS DERIVED FROM SENTINEL2 IN ARID AND SEMI-ARID REGIONS- A case study in MOROCCO

open access: yesAfrican Journal on Land Policy and Geospatial Sciences, 2023
Context and background Wheat is one of the oldest cultivated plants in the world and has always been one of the most important staples for millions of people around the world and especially in North Africa, where wheat is the most used crop for ...
Adra IDRISSI   +5 more
doaj   +1 more source

تخمین تبخیروتعرق واقعی براساس الگوریتم‌های تک منبعی و دومنبعی سنجش از دوری (مطالعه موردی: برازجان) [PDF]

open access: yesمجله آب و خاک, 2020
شناخت و ارزیابی تبخیر و تعرق از سطوح گیاهی یک ابزار اساسی در محاسبه بیلان آب و تخمین نیاز آبی و دسترسی به آن است. در این تحقیق به­منظور بررسی توزیع مکانی تبخیروتعرق و رابطه آن با سنجش از دور در مقابل داده­های لایسیمتری به عنوان شاهد در منطقه برازجان واقع
بهاره بهمن آبادی   +1 more
doaj   +1 more source

Analysis of spatiotemporal variations of drought and its correlations with remote sensing-based indices via wavelet analysis and clustering methods

open access: yesHydrology Research, 2022
Beside in situ observations, satellite-based products can provide an ideal data source for spatiotemporal monitoring of drought. In this study, the spatiotemporal pattern of drought was investigated for the northwest part of Iran using ground- and ...
Roghayeh Ghasempour   +3 more
doaj   +1 more source

Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River [PDF]

open access: yes, 2012
Vegetation in the upper catchment of Yellow River is critical for the ecological stability of the whole watershed. The dominant vegetation cover types in this region are grassland and forest, which can strongly influence the eco-environmental status of ...
Ouyang, W.   +6 more
core   +1 more source

Detection of Changes in Land Cover and Land Surface Temperature Using Multi Temporal Landsat Data

open access: yesEnvironment and Natural Resources Journal, 2020
Land cover changes and land surface temperature have rosein the tropical regions of Myanmar especially in the surrounding areas of Magway city due to the rapid growth of urban sprawl.
Aye Aye Myint
doaj   +1 more source

NDVI Computation from Hyperspectral Images

open access: yes2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023
Agriculture has witnessed a series technological transformations over time. In recent years, multispectral and hyperspectral satellites have become powerful tools in precision and efficient agricultural practices. Given the richness of information they provide and the fact that multi- and hyperspectral data are not easy to interpret, a consistent ...
Plajer, Ioana Cristina   +3 more
openaire   +1 more source

Machine learning to understand patterns of burn severity from the SCU Lightning Complex Fires of August 2020

open access: yesCalifornia Fish and Wildlife Journal, 2022
The SCU Lightning Complex Fire started on 16 August 2020 and burned more than 395,000 acres of woodlands and grasslands in six California counties. Satellite images of pre-fire green vegetation biomass from both 2020 springtime (moist) and summertime ...
Christopher Potter, Olivia Alexander
doaj   +1 more source

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