This study aimed to evaluate changes in the aboveground net primary productivity (ANPP) of grasslands in the Pampa biome by using experimental plots and changes in the spectral responses of similar vegetation communities obtained by remote sensing and to compare both datasets with meteorological variations to validate the transition scales of the datasets. Two different geographic scales were considered in this study. At the local scale, an analysis of the climate and its direct influences on grassland ANPP was performed using data from a long-term experiment. At the regional scale, the influences of climate on the grassland reflectance patterns were determined using vegetation sensor imagery data. Overall, the monthly variations of vegetation canopy growth analysed using environmental changes (air temperature, total rainfall and total evapotranspiration) were similar. The results from the ANPP data and the NDVI data showed the that variations in grassland growth were similar and independent of the analysis scale, which indicated that local data and the relationships of local data with climate can be considered at the regional scale in the Pampa biome by using remote sensing.

At the end of the 20th and early 21st century, agricultural systems incorporated definitively a new mission: to generate goods for a world population that continues to grow and whose way of life demand food with low environmental impact. Soybean is the main raw material for the production of biodiesel in Brazil, accountably responsible for 82.4% of the total produced between 2006 and 2013. The Brazilian state of Rio Grande do Sul (RS), which is formed by the Pampa and the Atlantic forest biomes, was responsible for 35.7% of the country's biodiesel production in the referred period. The aim of this paper was to verify the impact of the increased area of soybean cultivation in land use in Rio Grande do Sul State, in the period between 1990 and 2015, considering separately its two biomes (Pampa and Atlantic Forest) original areas, using both census dataset and satellite images. We used the period from 1990 to 2000 as before commodity rising price (BCRP) and the period from 2000 to 2013 as commodity rising price (CRP). The 505,162 ha from Atlantic Forest biome and 1,192,115ha from Pampa biome were added to soybean production in the CRP period. In the Atlantic Forest, this enlargement occurred in the border of the main production area, while in Pampa biome conversion of natural grassland to crop land was the main reason for the large increment in the cultivated area.

Every year, many active fire spots are identified in the satellite images of the southern Brazilian grasslands in the Atlantic Forest biome and Pampa biome. Fire Radiative Power (FRP) is a technique that uses remotely sensed data to quantify burned biomass. FRP measures the radiant energy released per time unit by burning vegetation. This study aims to use satellite and field data to estimate the biomass consumption rate and the biomass consumption coefficient for the southern Brazilian grasslands. Three fire points were identified in satellite FRP products. These data were combined with field data, collected through literature review, to calculate the biomass consumption coefficient. The type of vegetation is an important variable in the estimation of the biomass consumption coefficient. The biomass consumption rate was estimated to be 2.237 kg s^-1 for the southern Brazilian grasslands in Atlantic Forest biome, and the biomass consumption coefficient was estimated to be 0.242 kg MJ^-1.

A utilização de matéria-prima de origem florestal aumentou significativamente nas últimas décadas. A busca por alta produtividade concretizou-se com a introdução de espécies exóticas, principalmente Eucalyptus sp. e Pinus sp. Neste trabalho avaliou-se a precisão da classificação digital obtida no levantamento de povoamentos florestais implantados e naturais da área da carta de Cachoeira do Sul - RS, utilizando técnicas de geoprocessamento, sensoriamento remoto, SIG (sistema de informação geográfica) e GPS (sistema de posicionamento global). Verificou-se que a área é ocupada por vegetação natural (35,54%), Pinus sp. (1,89%) e Eucalyptus sp. (0,77%), cuja precisão na classificação supervisionada digital foi: Exatidão global (85,23%), Kappa (84,90%) e Tau (77,74%). Concluiu-se que os três índices de acurácia podem ser utilizados, apesar de os índices Kappa e Tau mostrarem-se mais consistentes.

Citrus variegated chlorosis (CVC) is one of the most important diseases for Brazilian citricultureIt is caused by Xylella fastidiosa subsp. pauca, a xylem limited, cycadelid and budwood transmitted bacterium. In Bahia, the second most important citrus region in Brazil, CVC has been present since 1997. Our objectives were to characterize the regional spatial pattern of CVC and to establish a relationship between epidemiological variables and horticultural practices, as well as to evaluate whether control measures used so far have been effective and, based on that, to conceive suitable control measures. A series of surveys were performed in two regions of Bahia State (Recôncavo Baiano and Litoral Norte), along with a survey of horticultural and control practices associated with sampled groves. CVC was restricted to Litoral Norte region, especially to three municipalities along the border between Bahia and Sergipe StatesThe mean CVC incidence in these municipalities followed a gradient, higher in the countryside and decreasing along the coast. Presence and dissemination of CVC was related to poor nursery practices, a massive use of a susceptible orange variety, and an extreme concentration of orange groves in high incidence municipalities, as well as to the absence of specific CVC control. Considering that CVC was not found in Recôncavo Baiano, this region could be considered a "CVC free zone" by the local government. A clorose variegada dos citros (CVC) - causada por Xylella fastidiosa subsp. pauca, bactéria limitada ao xilema, transmitida por insetos cicadelídeos e por material de propagação - é uma das doenças mais importantes da citricultura brasileira. Na Bahia, segundo maior produtor do Brasil, a CVC está presente desde 1997. Os objetivos deste trabalho foram caracterizar o padrão espacial regional da CVC, estabelecer relações entre as variáveis epidemiológicas e práticas horticulturais e avaliar se as medidas de controle usadas até o momento tem sido efetivas. Uma série de prospecções foi realizada em duas regiões da Bahia (Recôncavo Baiano e Litoral Norte), assim como uma prospecção das práticas horticulturais e de controle da doença associadas aos pomares amostrados. A CVC está restrita à região do Litoral Norte, com maior incidência nos três municípios que fazem fronteira com o Estado de Sergipe. A incidência média nesses municípios seguiu um gradiente, maior no interior e decrescendo em direção ao litoral. A presença e disseminação da CVC foi relacionada ao manejo inadequado de viveiros, uso massivo de variedade copa suscetível, extrema concentração de pomares de laranja doce em municípios de alta incidência e ausência de medidas específicas de controle da doença. O Recôncavo Baiano poderia ser considerado como região livre da CVC pois nenhuma planta sintomática foi encontrada em qualquer das prospecções

The remote sensing techniques must be used to obtain long-term information in remote areas, like the Antarctic continent, to monitor the environmental productivity and its changes. The aim of this work was to analyze the surface reflectance profile patterns for the Antarctic biological soil crusts (algae, lichens, and mosses) in an area of Nelson Island (South Shetland Islands, maritime Antarctic), calculated from Landsat and Sentinel-2 images to identify its similarities and differences due to targets, sensors and acquired date. The surface reflectance values for Antarctic biological soil crusts are similar for those observed for biological soil crusts in other Earth extreme environments, like deserts. In Landsat images, the differences among biological soil crusts surface reflectance were identified at visible and near-infrared wavelengths and for Sentinel-2 images, the differences occur at visible, red-edge and shortwave infrared wavelengths, showing the feasibility of using surface reflectance products to identify these different crusts, despite its inherent pixel spectral mixture. Long-term biophysical parameters from such crusts as retrieved from orbital data is not possible due to very low cloud-free images over the Antarctic, which prevents building a consistent surface reflectance time-series which covers all biological soil crusts growth season.