Использование индекса ICE для спутникового мониторинга ирригационных массивов и состояния земель
Аннотация
Обоснование. В мире около половины сельскохозяйственных культур возделывается при орошении, которое оказывает влияние на климат полей, а также может повышать комфортность окружающей среды для человека. Развитие спутниковых технологий открыло возможности оперативного и низкозатратного мониторинга охлаждающего эффекта орошения Irrigation Cooling Effect (ICE). Это направление исследований проходит стадию становления, что предопределяет актуальность выявления текущего тренда его развития.
Цель. Провести анализ научной литературы в области использования спутникового индекса ICE для мониторинга орошаемых земель, выявить основные направления развития и научные центры.
Материалы и методы. В качестве основного источника информации использовались сведения наукометрических баз данных Scopus и РИНЦ. На конкретном примере показана связь ICE с NDVI для орошаемого массива СУАР в КНР.
Результаты. Анализ первоисточников показал, что в настоящее время ICE используется в основном для оценки охлаждающего эффекта орошения посевов и их водопотребления, охлаждающего эффекта растительности городов, для оценки влияния смены наземного покрова на локальный и региональный климат. Основными центрами исследований являются научные организации Китая и США, что подтверждается количеством научных публикаций и их цитируемостью. Перспективным направлением является использование ICE для оперативного спутникового мониторинга посевов (в том числе и неорошаемых).
Заключение. Таким образом, ICE может рассматриваться как полезное дополнение к обычно используемому при спутниковом мониторинге посевов индексу NDVI, что обуславливает все более широкое использование данного индекса в мире, особенно для мониторинга орошаемых земель.
EDN: UWOZGV
Скачивания
Литература
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Hou, M., Tian, F., Zhang, T., & Huang, M. (2019). Evaluation of canopy temperature depression, transpiration, and canopy greenness in relation to yield of soybean at reproductive stage based on remote sensing imagery. Agric. Water Manag., 222, 182-192. https://doi.org/10.1016/j.agwat.2019.06.005
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Li, Y., Guan, K., Peng, B., Franz, T. E., Wardlow, B., & Pan, M. (2020). Quantifying irrigation cooling benefits to maize yield in the US Midwest. Global Change Biology, 26(5), 3065-3078. https://doi.org/10.1111/gcb.15002 EDN: https://elibrary.ru/UQBZXM
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