Estimation of bare soil moisture from remote sensing indices in the 0.4-2.5 mm spectral range

• Autorzy: Kubiak Katarzyna , Stypułkowska Justyna , Szymański Jakub , Spiralski Marcin

Identyfikatory

DOI

10.2478/tar-2021-0007

Warianty tytułu

PL

Szacowanie wilgotności gleby za pomocą wskaźników teledetekcyjnych w zakresie spektralnym 0,4-2,5 mm

• Języki publikacji: EN

Abstrakty

EN

Soil moisture content (SMC) is an important element of the environment, influencing water availability for plants and atmospheric parameters, and its monitoring is important for predicting floods or droughts and for weather and climate modeling. Optical methods for measuring soil moisture use spectral reflection analysis in the 350-2500 nm range. Remote sensing is considered to be an effective tool for monitoring soil parameters over large areas and to be more cost effective than in situ measurements. The aim of this study was to assess the SMC of bare soil on the basis of hyperspectral data from the ASD FieldSpec 4 Hi-Res field spectrometer by determining remote sensing indices and visualization based on multispectral data obtained from UAVs. Remote sensing measurements were validated on the basis of field humidity measurements with the HH2 Moisture Meter and ML3 ThetaProbe Soil Moisture Sensor. A strong correlation between terrestrial and remote sensing data was observed for 7 out of 11 selected indexes and the determination coefficient R² values ranged from 67%-87%. The best results were obtained for the NINSON index, with determination coefficient values of 87%, NSMI index (83.5%) and NINSOL (81.7%). We conclude that both hyperspectral and multispectral remote sensing data of bare soil moisture are valuable, providing good temporal and spatial resolution of soil moisture distribution in local areas, which is important for monitoring and forecasting local changes in climate.

PL

Zawartość wody w glebie (SMC) jest ważnym elementem środowiska wpływającym na dostępność wody dla roślin, parametry atmosferyczne, a jej monitorowanie jest istotne w prognostyce powodzi lub susz a także modelowaniu pogody i klimatu. Optyczne metody pomiaru wilgotności gleby wykorzystują analizę odbicia spektralnego w zakresie od 350 do 2500 nm. Uważa się, że teledetekcja jest skutecznym narzędziem monitorowania parametrów gleby na dużych obszarach i jest bardziej opłacalna w porównaniu z pomiarami in situ. Celem pracy jest ocena SMC gleby niepokrytej/skąpo pokrytej roślinnością na podstawie danych hiperspektralnych ze spektrometru polowego ASD FieldSpec 4 Hi-Res poprzez wyznaczenie wskaźników teledetekcji i wizualizacji na podstawie danych wielospektralnych uzyskanych z UAV. Pomiary teledetekcyjne zostały zweryfikowane na podstawie pomiarów wilgotności w terenie za pomocą miernika wilgotności HH2 z sondą Thete Probe ML3. Silną korelację między danymi naziemnymi i teledetekcyjnymi zaobserwowano dla 7 z 11 wybranych wskaźników, a wartości współczynników determinacji R² wahały się w granicach 67%-87%. Najlepsze wyniki uzyskano dla indeksu NINSON o wartościach współczynników determinacji 87% a także dla indeksu NSMI 83,5% i NINSOL 81,7%. Dane z teledetekcji hiper- i multispektralnej dotyczące wilgotności niepokrytej/skąpo pokrytej roślinnością gleby mają wielką wartość, ponieważ zapewniają dobrą czasową i przestrzenną rozdzielczość rozkładu wilgotności gleby na obszarach lokalnych co jest istotne dla monitoringu i prognozowania lokalnych zmian klimatu.

Słowa kluczowe

EN

soil moisture content; remote sensing; hyperspectral data; bare soil; UAV

PL

wilgotność gleby; teledetekcja; dane hiperspektralne; gleba; UAV

• Wydawca: Wydawnictwa Naukowe Sieci Badawczej Łukasiewicz - Instytutu Lotnictwa
• Czasopismo: Transactions on Aerospace Research
• Rocznik: 2021
• Tom: Nr 2 (263)
• Strony: 1--11
• Opis fizyczny: Bibliogr. 37 poz., fot., rys., tab., wykr.

Twórcy

autor

Kubiak Katarzyna

• Institute of Aviation, al. Krakowska 110/114, 02-256 Warsaw, Poland

• https://orcid.org/0000-0002-4156-3139

autor

Stypułkowska Justyna

• Institute of Aviation, al. Krakowska 110/114, 02-256 Warsaw, Poland

• https://orcid.org/0000-0002-8601-4483

autor

Szymański Jakub

• Institute of Aviation, al. Krakowska 110/114, 02-256 Warsaw, Poland

• https://orcid.org/0000-0002-2899-740X

autor

Spiralski Marcin

• Institute of Aviation, al. Krakowska 110/114, 02-256 Warsaw, Poland

• https://orcid.org/0000-0003-2147-2026

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).