SURFACE MOISTURE INDEX BY RADIOMETRIC MEASUREMENTS AND ORBITAL DATA
| Autor: | Lucimara W. Schirmbeck, Denise C. Fontana, Juliano Schirmbeck, Genei A. Dalmago, José M. C. Fernandes |
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| Přispěvatelé: | LUCIMARA W. SCHIRMBECK, UFRGS, DENISE C. FONTANA, UFRGS, JULIANO SCHIRMBECK, UNIVATES, GENEI ANTONIO DALMAGO, CNPT, JOSE MAURICIO CUNHA FERNANDES, CNPT. |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
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| Zdroj: | Engenharia Agrícola v.42 n.2 2022 Engenharia Agrícola Associação Brasileira de Engenharia Agrícola (SBEA) instacron:SBEA Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice) Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
| Popis: | As an indicator of surface moisture, TVDI has great potential for application in agriculture in different types of climates, but the best results have been obtained in arid climates, given the presence of areas with contrasting water conditions. Some studies under subtropical climate conditions have shown good results in the use of TVDI as an indicator of surface moisture but some uncertainties still need to be better understood. This study aimed to evaluate the coherence of temperature-vegetation dryness index (TVDI) values, obtained from sensors installed on the surface, compared to data obtained using orbital images in an agricultural area in southern Brazil under humid subtropical climate conditions. The analyses employed normalized difference vegetation index (NDVI) and surface temperature (TS) data obtained through sensors installed on the surface, with continuous monitoring, as well as Landsat OLI/TIRS images, covering the period of the soybean cycle. The TVDI values, obtained from NDVI and TS radiometric sensors installed in the field, indicated consistency of using Landsat-OLI/TIRS orbital images to map the surface moisture condition, representing the spatial and temporal variations of the water condition of soybean cultivations under subtropical climate conditions. Made available in DSpace on 2022-07-19T17:19:44Z (GMT). No. of bitstreams: 1 Surface.pdf: 1485818 bytes, checksum: bae2de48cb720087a875385b3c250846 (MD5) Previous issue date: 2022 |
| Databáze: | OpenAIRE |
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