Biophysical Characterization and Monitoring Large‐Scale Water and Vegetation Anomalies by Remote Sensing in the Agricultural Growing Areas of the Brazilian Semi‐Arid Region

Autor: Edson Patto Pacheco, Antônio Heriberto de Castro Teixeira, C. M. Takemura, E. A. M. Garcon, Janice F. Leivas

Publikováno v: Advances in Remote Sensing for Natural Resource Monitoring

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e65ae1aa121f67475a26f39027e3e83
https://doi.org/10.1002/9781119616016.ch7

Modeling large-scale biometeorological indices to monitor agricultural-growing areas: applications in the fruit circuit region, São Paulo, Brazil

Autor: C. M. Takemura, I. A. Alvarez, Carlos Fernando Quartaroli, Antônio Heriberto de Castro Teixeira, E. A. M. Garcon, Janice F. Leivas

Publikováno v: International journal of biometeorology. 64(12)

This paper aimed to support the rational crop expansion in agricultural-growing regions. MODIS satellite images are used together with gridded weather data to model biometeorological parameters at the Fruit Circuit region, state of Sao Paulo, Southea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b41092d698c02471802173bc9ca97220
https://pubmed.ncbi.nlm.nih.gov/32803425

Water productivity monitoring by using geotechnological tools in contrasting social and environmental conditions: Applications in the São Francisco River basin, Brazil

Autor: Edson Patto Pacheco, C. M. Takemura, Gustavo Bayma-Silva, Antônio Heriberto de Castro Teixeira, E. A. M. Garcon, Janice F. Leivas

Publikováno v: Remote Sensing Applications: Society and Environment. 18:100296

We used the SAFER (Simple Algorithm for Evapotranspiration Retrieving) algorithm together with the Monteith's RUE (Radiation Use Efficiency) model, for large-scale water productivity assessments in different social and environmental conditions of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d39023e514b514959688788388a53aa0
https://doi.org/10.1016/j.rsase.2020.100296

Water indicators based on SPOT 6 satellite images in irrigated area at the Paracatu River Basin, Brazil

Autor: E. A. M. Garcon, Janice F. Leivas, C. C. Ronquim, Gustavo Bayma-Silva, Antônio Heriberto de Castro Teixeira

Publikováno v: Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX.

The Paracatu River is the largest affluent of the Sao Francisco River, Brazil. The main water use in the Paracatu river basin is irrigation, which occupies an area of 37,150 ha. The objective in this study was to obtain water indicators at irrigated

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5d7682178d108713d97779e2b36c87f8
https://doi.org/10.1117/12.2278059

NDVI temporal series from the SPOT Vegetation sensor and SAM algorithm applied to sugarcane mapping

Autor: Gustavo Bayma Siqueira da Silva, Daniel Gomes, Luiz Eduardo Vicente, D. de C. Victoria, Édson Luis Bolfe, Ricardo Guimarães Andrade, E. A. M. Garcon

Publikováno v: Pesquisa Agropecuária Brasileira, Volume: 47, Issue: 9, Pages: 1337-1345, Published: SEP 2012
Pesquisa Agropecuária Brasileira, Vol 47, Iss 9, Pp 1337-1345 (2012)
Pesquisa Agropecuária Brasileira v.47 n.9 2012
Pesquisa Agropecuária Brasileira
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA

O objetivo deste trabalho foi avaliar o mapeamento de área de cana‑de‑açúcar por meio de série temporal, de seis anos de dados do índice de vegetação por diferença normalizada (NDVI), oriundos do sensor Vegetation, a bordo do satélite "s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d29833c21e0c03d00d4ce52a7e010aeb
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2012000900019&lng=en&tlng=en