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Почвоведение, 2023, № 11, стр. 1357-1370

Vis-NIR спектроскопия для целей оценки содержания органического углерода почв (метаанализ)

А. В. Чинилин a, *, Г. В. Виндекер a, И. Ю. Савин a, b

a Почвенный институт им. В.В. Докучаева
119017 Москва, Пыжевский пер., 7, стр. 2, Россия

b Российский университет дружбы народов, Институт экологии
115093 Москва, Подольское ш., 8, стр. 5, Россия

* E-mail: chinilin_av@esoil.ru

Поступила в редакцию 10.04.2023
После доработки 19.06.2023
Принята к публикации 21.06.2023

Аннотация

Выполнен обзор и метаанализ научных статей, посвященных оценке содержания органического углерода почв с применением подходов Vis-NIR спектроскопии. В обзор вошло 134 исследования, опубликованных в период с 1986 по 2022 гг. с общей выборкой в 709 значений количественных метрик. Поиск статей проводили в научных поисковых системах: РИНЦ, Science Direct, Scopus, Google Scholar по ключевым словосочетаниям: “спектроскопия почв” и “Vis-NIR spectroscopy AND soil organic carbon”. В процессе метаанализа при помощи непараметрического одностороннего дисперсионного анализа Краскела–Уоллиса в совокупности с непараметрическим методом попарного сравнения выполняли определение наличия статистически значимой разницы между медианными значениями принятых количественных метрик предсказательной силы моделей (коэффициента детерминации ($R_{{{{{\text{cv}}} \mathord{\left/ {\vphantom {{{\text{cv}}} {{\text{val}}}}} \right. \kern-0em} {{\text{val}}}}}}^{2}$), корня среднеквадратичной оценки (RMSE) и отношения производительности к отклонению (performance to deviation, RPD)). В результате выявлена наилучшая эффективность метода предварительной обработки спектральных кривых. Проведено сравнение результатов оценки содержания органического углерода почв между методом спектроскопии в лаборатории и в полевых условиях.

Ключевые слова: бесконтактное зондирование, прогноз, алгоритмы, калибровка моделей, валидация

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