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Remote sensing and cropping practices: a review. Author(s): BÉGUÉ, A.; ARVOR, D.; BELLON, B.; BETBEDER, J.; ABELLEYRA, D. de; FERRAZ, R. P. D.; LEBOURGEOIS, V.; LELONG, C.; SIMÕES, M.; VERÓN, S. R. For agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase. In this context, we reviewed the literature on re... ... Repository: BDPA Publication year: 2018
Remote sensing phenology of the brazilian Caatinga and its environmental drivers. Author(s): MEDEIROS, R.; ANDRADE, J.; RAMOS, D.; MOURA, M. S. B. de; PÉREZ-MARIN, a. m.; SANTOS, C. A. C. dos; SILVA, B. B. da; CUNGA, J. The Caatinga is the largest nucleus of Seasonally Dry Tropical Forests (SDTF) in the Neotropics. The leafing patterns of SDTF vegetation are adapted to the current environmental and climate variabilit... ... Repository: BDPA Publication year: 2022
Modelling evapotranspiration by remote sensing parameters and agro-meteorological stations. Author(s): TEIXEIRA, A. H. de C. Field energy balances from irrigated and natural ecosystems, together with a net of agrometeorological stations, were used to develop a model for actual evapotranspiration (ET) quantification, based o... ... Repository: BDPA Publication year: 2012
Computational framework to analyze agrometeorological, climate and remote sensing data: challenges and perspectives. Author(s): ROMANI, L. A. S.; TRAINA, A. J. M.; SOUSA, E. P. M. de; ZULLO JÚNIOR, J.; AVILA, A. M. H.; RODRIGUES JR. J. F.; TRAINA JÚNIOR. C. In the past few years, improvements in the data acquisition technology have decreased the time interval of data gathering. Consequently, institutions have stored huge amounts of data such as climate t... ... Repository: BDPA Publication year: 2009
Lem benchmark database for tropical agricultural remote sensing application. Author(s): SANCHES, I. D.; FEITOSA, R. Q.; ACHANCCARAY, P.; MONTIBELLER, B.; LUIZ, A. J. B.; SOARES, M. D.; PRUDENTE, V. H. R.; VIEIRA, D. C.; MAURANO, L. E. P. Abstract: The monitoring of agricultural activities at a regular basis is crucial to assure that the food production meets the world population demands, which is increasing yearly. Such information ca... ... Repository: BDPA Publication year: 2018
Developments in land use and land cover classification techniques in remote sensing: a review. Author(s): MACARRINGUE, L. S.; BOLFE, E. L.; PEREIRA, P. R. M. Abstract. Studies on land use and land cover changes (LULCC) have been a great concern due to their contribution to the policies formulation and strategic plans in different areas and at different sca... ... Repository: BDPA Publication year: 2022
Mapping soil erosion risk in Rondônia, Brazilian Amazonia: using rusle, remote sensing and GIS. Author(s): LU, D.; LI, G.; VALLADARES, G. S.; BATISTELLA, M. This article discusses research in which the authors applied the Revised Universal Soil Loss Equation (RUSLE), remote sensing, and geographical information system (GIS) to the maping of soil erosion r... ... Repository: BDPA Publication year: 2004
A remote sensing approach for regional-scale mapping of agricultural land-use systems based on NDVI time series. Author(s): BELLÓN, B.; BEGUÉ, A.; LO SEEN, D.; ALMEIDA, C. A. de; SIMÕES, M. In response to the need for generic remote sensing tools to support large-scale agricultural monitoring, we present a new approach for regional-scale mapping of agricultural land-use systems (ALUS) ba... ... Repository: BDPA Publication year: 2017
LIDAR-based estimation of bole biomass for precision management of an Amazonian forest: comparisons of ground-based and remotely sensed estimates. Author(s): FIGUEIREDO, E. O.; OLIVEIRA, M. V. N. d'; BRAZ, E. M.; PAPA, D. de A.; FEARNSIDE, P. M. Based on airborne LIDAR data on canopymorphology and height of Amazon forest trees, we developed allometric models to estimate dry biomass stored in the boles of dominant and co-dominant individuals a... ... Repository: BDPA Publication year: 2016
Integrating time series mining and fractals to discover patterns and extreme events in climate and remote sensing databases. Author(s): ROMANI, L. A. S. This thesis presents new methods based on fractal theory and data mining techniques to support agricultural monitoring in regional scale, specifically regions with sugar cane fields. This commodity gr... ... Repository: BDPA Publication year: 2010

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