19-year remotely sensed data in the forecast of spectral models of the environment

Author:

Rossi Fernando Saragosa1ORCID,Silva Junior Carlos Antonio da2ORCID,Oliveira-Júnior José Francisco de3ORCID,Teodoro Paulo Eduardo4ORCID,Shiratsuchi Luciano Shozo5,Lima Mendelson1ORCID,Teodoro Larissa Pereira Ribeiro4,Tiago Auana Vicente1,Capristo-Silva Guilherme Fernando6

Affiliation:

1. State University of Mato Grosso (UNEMAT), Alta Floresta, Mato Grosso, Brazil

2. Department of Geography, State University of Mato Grosso (UNEMAT), Sinop, Mato Grosso, Brazil

3. Federal University of Alagoas (UFAL), Maceió, Alagoas, Brazil

4. Federal University of Mato Grosso do Sul (UFMS), Chapadão do Sul, Mato Grosso do Sul, Brazil

5. AgCenter, School of Plant, Environmental, and Soil Sciences, Louisiana State University (LSU), Baton Rouge, Louisiana, USA

6. Postgraduate Program in Agronomy, Federal University of Mato Grosso (UFMT), Sinop, Mato Grosso, Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil

National Council for Research and Development

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Reference102 articles.

1. Allen, R., W. Bastiaanssen, R. Waters, M. Tasumi, and R. Trezza. 2002. “Surface Energy Balance Algorithms for Land (SEBAL)”, Idaho implementation - Advanced training and users manual, version 1.0, 97p. 2002.

2. Reduced tillage and cover crops improve water capture and reduce erosion of fine textured soils in raised bed tomato systems

3. Alvarenga, R. C., W. A. L. Cabezas, J. C. Cruz, and D. P. Santana. 2001. “Ground Cover Plants for No-Till System.” Embrapa Milho e Sorgo-Artigo em periódico indexado (ALICE).

4. Beyond greenness: Detecting temporal changes in photosynthetic capacity with hyperspectral reflectance data

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