The Information Content of Spectral Vegetation Indices in the Interpretation of Satellite Images of Cultivated Fields

Pisman, T.I.; Shevyrnogov, A.; Larko, A. A.; Emelyanov, D. V.; Shpedt, A. A.; Trubnikov, Y. N.

doi:10.1134/s0006350919040158

Cited by 5 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several researchers were utilized satellite images to reveal the status of the vegetation coverage (forest, grass, crops, … etc.) [12][13][14][15][16][17]. One of the satellite that provide continues data (spatially and temporally) is Moderate Resolution Imaging Spectroradiometer (MODIS).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Analysis of Vegetation Cover in Kurdistan Region-Iraq using MODIS Image Data

Mustafa¹

2020

JASTT

View full text Add to dashboard Cite

The rapidly and wide use of remote sensing and accurately obtain information on the spatiotemporal distribution of large-scale vegetation is of great significance for improving and managing the Environment. To assess and analyze the spatiotemporal variation of vegetation status in Kurdistan Region of Iraq (KRGI), we used time series NDVI-based vegetation that are extracted from MOD13Q1 MODIS product over 20 years (2000 - 2019). The results showed that vegetation was mainly distributed in the north-east to south-east of the KRGI, while west region has less distributed and almost no vegetation. This is clearly remarkable in the south-west part of the region (Garmian administration). While, the most dominated vegetation province was Duhok province in KRGI during study period. There is a noticeable temporal variation in vegetation over a period of 20-year in the KRGI. The lower vegetated cover area is observed in the years 2000, 2008, and 2009. The increase/decrease of vegetated cover area is not only effected by climate conditions. The anthropogenic resource is also one of the main resources that has a major influence on the increase/decrease of vegetation.

show abstract

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Analysis of Vegetation Cover in Kurdistan Region-Iraq using MODIS Image Data

Mustafa¹

2020

JASTT

View full text Add to dashboard Cite

show abstract

“…Для оценки состояния растительности использовался определённый в период вегетации полевых культур (май-август) интегральный показатель величины NDVI (Normalized Difference Vegetation Index), признанный многими исследователями [8] как показатель, имеющий высокую степень корреляции с урожайностью [9]. Картызадания подготовлены на основе наземного и космического мониторинга 2022-2023 гг.…”

Section: зонаunclassified

Application of Methods and Approaches of Farming Biologization for Evaluation of Soil Fertility and Potential Yield Under the Conditions of Steppe and Forest-Steppe Zones of the Altai Region

Ovcharova,

Silanteva,

Belyaev

et al. 2023

VAGAU

View full text Add to dashboard Cite

Information Content of Spectral Vegetation Indices for Assessing the Weed Infestation of Crops Using Ground-Based and Satellite Data

Pisman

Ерунова

Emelyanov

et al. 2021

Izv. Atmos. Ocean. Phys.

View full text Add to dashboard Cite

The Information Content of Spectral Vegetation Indices in the Interpretation of Satellite Images of Cultivated Fields

Cited by 5 publications

References 4 publications

Spatiotemporal Analysis of Vegetation Cover in Kurdistan Region-Iraq using MODIS Image Data

Spatiotemporal Analysis of Vegetation Cover in Kurdistan Region-Iraq using MODIS Image Data

Application of Methods and Approaches of Farming Biologization for Evaluation of Soil Fertility and Potential Yield Under the Conditions of Steppe and Forest-Steppe Zones of the Altai Region

Information Content of Spectral Vegetation Indices for Assessing the Weed Infestation of Crops Using Ground-Based and Satellite Data

Contact Info

Product

Resources

About