Academic Journal
Relationship between remote sensing data and field-observed interril erosion
| العنوان: | Relationship between remote sensing data and field-observed interril erosion |
|---|---|
| المؤلفون: | André Geraldo de Lima Moraes, Daniel Fonseca de Carvalho, Mauro Antonio Homem Antunes, Marcos Bacis Ceddia |
| المصدر: | Pesquisa Agropecuária Brasileira, Vol 53, Iss 3, Pp 332-341 (2018) |
| بيانات النشر: | Embrapa Informação Tecnológica, 2018. |
| سنة النشر: | 2018 |
| المجموعة: | LCC:Agriculture (General) |
| مصطلحات موضوعية: | linear spectral mixing analysis, rainfall simulator, vegetation indices, Agriculture (General), S1-972 |
| الوصف: | Abstract: The objective of this work was to evaluate the relationship between different remote sensing data, derived from satellite images, and interrill soil losses obtained in the field by using a portable rainfall simulator. The study was carried out in an area of a hydrographic basin, located in Médio Paraíba do Sul, in the state of Rio de Janeiro - one of the regions most affected by water erosion in Brazil. Evaluations were performed for different vegetation indices (NDVI, Savi, EVI, and EVI2) and fraction images (FI), derived from linear spectral mixture analysis (LSMA), obtained from RapidEye, Sentinel2A, and Landsat 8 OLI images. Vegetation indices are more adequate to predict soil loss than FI, highlighting EVI2, whose exponential model showed R2 of 0.74. The best prediction models are generated from the RapidEye image, which shows the highest spatial resolution among the sensors evaluated. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English Spanish; Castilian Portuguese |
| تدمد: | 1678-3921 0100-204x |
| Relation: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000300332&tlng=en; http://www.scielo.br/pdf/pab/v53n3/1678-3921-pab-53-03-332.pdf; https://doaj.org/toc/1678-3921 |
| DOI: | 10.1590/s0100-204x2018000300008 |
| URL الوصول: | https://doaj.org/article/3e44f64187cd4463bd6132467e1829cd |
| رقم الانضمام: | edsdoj.3e44f64187cd4463bd6132467e1829cd |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 16783921 0100204x |
|---|---|
| DOI: | 10.1590/s0100-204x2018000300008 |