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The objective of this work was to analyze land use dynamics in the Brazilian Cerrado region from 2002 to 2013. This analysis was based on the interpretation of Landsat satellite images carried out by the projects Projeto de Conservação e Utilização Sustentável da Diversidade Biológica Brasileira (Probio) and TerraClass Cerrado 2013, both coordinated by Ministério do Meio Ambiente. In 2002, 38.9% of the Cerrado was covered by some type of anthropic activity. In 2013, this percentage increased to 43.4%. One of the main highlights is the emergence of a new agricultural frontier in the northern region of the study area, known as Matopiba. Resumo: O objetivo deste trabalho foi analisar a dinâmica de uso das terras na região do Cerrado de 2002 a 2013. Essa análise foi baseada nas interpretações de imagens do satélite Landsat realizadas pelo Projeto de Conservação e Utilização Sustentável da Diversidade Biológica Brasileira (Probio) e pelo projeto TerraClass Cerrado 2013, coordenados pelo Ministério do Meio Ambiente. Em 2002, 38,9% do Cerrado eram cobertos por algum tipo de atividade antrópica. Em 2013, essa percentagem passou para 43,4%. Um dos grandes destaques é o surgimento de uma nova fronteira agrícola na região norte da área de estudo, conhecida como Matopiba.

The Thornthwaite–Mather climatological model integrated into a Geographic Information System (GIS) was used to simulate the monthly water balance for the Ji-Paraná river basin, in the western Amazonian state of Rondônia (RO), from February 1995 through December 1996. Model inputs were Advanced Very High Resolution Radar (AVHRR) images, rainfall from rain gauges within and around the basin, soils, and land cover maps. Mean monthly temperature images, estimated from AVHRR, were used to calculate monthly potential evapotranspiration images. Rainfall measurements were interpolated to obtain monthly rainfall images using the spline method. Results were compared with annual water mass balance for 10 internal subbasins. Model results underestimated basin evapotranspiration in −6% and water surplus was overestimated in +12%. Annual basin evapotranspiration was 1166 mm, or 3.2 mm day−1, with a minimum in the dry season (1.7 mm day−1 in July) and maximum in the beginning of the wet season (4.2 mm day−1 in October). Three distinct land cover scenarios were evaluated. Complete basin deforestation reduced basin evapotranspiration and increased water deficit and surplus in approximately 200 mm yr−1.

The upper Teles Pires River basin is located in the Brazilian agriculture frontier in the north of Mato Grosso state and has experienced significant changes in land use and cover, which can cause major changes in its hydrological dynamics. Climatic and hydrologic data are scarce in the region, which poses uncertainties in the decision-making process aiming at the sustainable management of water resources in this strategic area. The aim of this study was to evaluate the performance of the Large-Scale Distributed Hydrological Model (MGB-IPH) to assess water availability of the upper Teles Pires basin and support water resource management in the Amazon-Cerrado ecotone. The MGB-IPH model was calibrated and validated using data from three streamflow stations available in the basin. In order to verify the model performance, the Nash-Sutcliffe (NS) and the PBIAS statistical parameters were applied. Our results show that, by using the MGB-IPH model with generally available data, the maximum and minimum flow regimes can be successfully assessed in the upper Teles Pires basin. The continuity curves of daily flow simulated by the model showed a good fit with the observed flow. Overall, the results demonstrated the applicability of the MGB-IPH model for water resource assessment and management in the basin. RESUMO A bacia do alto Rio Teles Pires está localizada na região de fronteira agrícola no norte de Mato Grosso, onde significativas mudanças no uso e cobertura do solo vem ocorrendo, o que, por sua vez, pode resultar em alterações importantes na dinâmica hidrológica da bacia. Dados climáticos e hidrológicos são escassos na bacia, o que gera dificuldades para a gestão sustentável dos recursos hídricos nesta região estratégica. No presente trabalho, avaliamos o desempenho do Modelo de Grandes Bacias (MGB-IPH) para a estimativa da disponibilidade hídrica da bacia do alto Teles Pires, visando o suporte à tomada de decisões para a gestão hídrica no ecótono Amazônia-Cerrado. O modelo MGB-IPH foi calibrado e validado utilizando séries históricas de três estações hidrométricas presentes na bacia. Para avaliação da qualidade do modelo, foram empregados os índices estatísticos de desempenho de Nash-Sutcliffe (NS) e a porcentagem BIAS (PBIAS). Com base nos resultados é possível afirmar que a utilização do modelo MGB-IPH possibilita a estimativa das vazões mínimas e máximas da bacia do alto Teles Pires de forma satisfatória. As curvas de continuidade das vazões diárias simuladas pelo modelo apresentaram um bom ajuste com os dados observados. Os resultados demonstram a aplicabilidade do modelo MGB-IPH como ferramenta de apoio à avaliação e gestão dos recursos hídricos na bacia.

MODIS 250-m NDVI and EVI datasets are now regularly used to classify regional-scale agricultural land-use practices in many different regions of the globe, especially in the state of Mato Grosso, Brazil, where rapid land-use change due to agricultural development has attracted considerable interest from researchers and policy makers. Variation exists in which MODIS datasets are used, how they are processed for analysis, and what ground reference data are used. Moreover, various land-use/land-cover classes are ultimately resolved, and as yet, crop-specific classifications (e.g. soy–corn vs. soy–cotton double crop) have not been reported in the literature, favoring instead generalized classes such as single vs. double crop. The objective of this study is to present a rigorous multiyear evaluation of the applicability of time-series MODIS 250-m VI data for crop classification in Mato Grosso, Brazil. This study shows progress toward more refined crop-specific classification, but some grouping of crop classes remains necessary. It employs a farm field polygon-based ground reference dataset that is unprecedented in spatial and temporal coverage for the state, consisting of 2003 annual field site samples representing 415 unique field sites and five crop years (2005–2009). This allows for creation of a dataset containing “best-case” or “pure” pixels, which we used to test class separability in a multiyear cross validation framework applied to boosted decision tree classifiers trained on MODIS data subjected to different pre-processing treatments. Reflecting the agricultural landscape of Mato Grosso as a whole, cropping practices represented in the ground reference dataset largely involved soybeans, and soy-based classes (primarily double crop ‘soy-commercial’ and single crop ‘soy-cover’) dominated the analysis along with cotton and pasture. With respect to the MODIS data treatments, the best results were obtained using date-of-acquisition interpolation of the 16-day composite VI time series and outlier point screening, for which five-year out-of-sample accuracies were consistently near or above 80% and Kappa values were above 0.60. It is evident that while much additional research is required to fully and reliably differentiate more specific crop classes, particular groupings of cropping strategies are separable and useful for a number of applications, including studies of agricultural intensification and extensification in this region of the world.

The influence of Amazonian floodplains on the hydrological, sedimentary, and biogeochemical river budget was investigated over a 2000-km reach. A process-based model relying on the closure of chemical fluxes and isotopic signals was implemented. On average for the whole studied reach, the overall fluxes of carbon associated with mineralization and aquatic photosynthesis were estimated to 35.7 and 15.3 Tg C yr21, respectively. Almost 57% of the carbon sequestrated by photosynthesis comes from aerial sources (flooded forest); the remaining 43% resulted from aquatic sources (va´rzea grasses and phytoplankton). The process rates substantially fluctuate over the annual cycle, depending particularly on the extension of flooded area and on the river?floodplain connectivity. As the river level declines, the drastic decrease of turbidity and the lower supply of carbon substrates promote autotrophy to the detriment of heterotrophy, leading to substantial changes of pH and gaseous equilibria in the river water. The main consequences are (i) the side-chain oxidation of dissolved organic matter leading to the concomitant rises of the carbon to nitrogen atomic ratio and nitrate contents and (ii) the sorption of hydrophobic humic acids, which fractionate 13C and thus lead to 13C-depleted particulate organic matter (fine fraction) compared to remaining dissolved organic matter. As the river flow rises, the heterotrophy prevails over autotrophy and this tends to attenuate the chemical signature imprinted by the latter. The significant contribution of aerial autochthonous sources to the budget of carbon indicates that the fluxes of mineralization are sustained by the net primary production of river corridors. The variable extension of submerged areas defines the proportions of CO2 exported by the river and released to the atmosphere. The rate of CO2 outgassing on the studied reach (18.8 Tg C yr21) represents about 50% of the incoming dissolved inorganic carbon flux. The rate of methane emission is estimated as 2.2 Tg C yr21 and that of denitrification is estimated as 0.87 Tg N yr21, representing 1.5 times the flux of dissolved inorganic nitrogen (DIN) exported by the Amazon River at the station of O ´ bidos (0.64 Tg N yr21). Made available in DSpace on 2014-09-17T07:35:14Z (GMT). No. of bitstreams: 1 biogeochemistry.pdf: 2242449 bytes, checksum: 3225583b0b4ca51b50a2e8c8b8a94cb7 (MD5) Previous issue date: 2011-03-01

The Alto Tocantins watershed, located in the Brazilian Savanna (Cerrado biome), is under an intense land use and occupation process, causing increased pressure on natural resources. Pasture areas in the region are highly relevant to the rational use of natural resources in order to achieve economic and environmental sustainability. In this context, remote sensing techniques have been essential for obtaining information relevant to the assessment of vegetation conditions on a large scale. This study aimed to apply this tool in conjunction with field measurements to evaluate evapotranspiration (ET) against pasture degradation indicators. The SAFER algorithm was applied to estimate ET using MODIS images and weather station data from year 2012. Results showed that ET was lower in degraded pastures. It is noteworthy that during low rainfall period, ET values were 22.2% lower in relation to non-degraded pastures. This difference in ET indicates changes in the partition of the energy balance and may impact the microclimate. These results may contribute to public policies that aim to reduce the loss of the productive potential of pastures. Presented at the 16th Remote Sensing for Agriculture, Ecosystems, and Hydrology.

Wheat (Triticum aestivum) is the second most produced cereal in the world, and has major importance in the global agricultural economy. Brazil is a large producer of wheat, especially the Rio Grande do Sul state, located in the south of the country. The purpose of this study was to analyze the estimation of biophysical parameters ? evapotranspiration (ET), biomass (BIO) and water productivity (WP) ? from satellite images of the municipalities with large areas planted with wheat in Rio Grande do Sul (RS). The evapotranspiration rate was obtained using the SAFER Model (Simple Algorithm for Retrieving Evapotranspiration) on MODIS (Moderate Resolution Imaging Spectroradiometer) images taken in the agricultural year 2012. In order to obtain biomass and water productivity rates we applied the Monteith model and the ratio between BIO and ET. In the beginning of the cycle (the planting period) we observed low values for ET, BIO and WP. During the development period, we observed an increase in the values of the parameters and decline at the end of the cycle, for the period of the wheat harvest. The SAFER model proved effective for estimating the biophysical parameters evapotranspiration, biomass production and water productivity in areas planted with wheat in Brazilian Southern. The methodology can be used for monitoring the crops' water conditions and biomass using satellite images, assisting in estimates of productivity and crop yield. The results may assist the understanding of biophysical properties of important agro-ecosystems, like wheat crop, and are important to improve the rational use of water resources. Presented at the 16th Remote Sensing for Agriculture, Ecosystems, and Hydrology.