Avaliação da aplicabilidade de sistema computacional de visualização de imagens aéreas de alta resolução em tempo real e multitemporal à degradação do rio Corumbataí

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

A multisensor, multitemporal approach for monitoring herbaceous vegetation growth in the Amazon floodplain

The Amazon River floodplain is an important source of atmospheric CO2 and CH4. Aquatic herbaceous vegetation (macrophytes) have been shown to contribute significantly to floodplain net primary productivity (NPP) and methane emission in the region. Their fast growth rates under both flooded and dry conditions make herbaceous vegetation the most variable element in the Amazon floodplain NPP budget, and the most susceptible to environmental changes. The present study combines multitemporal Radarsat-1 and MODIS images to monitor spatial and temporal changes in herbaceous vegetation cover in the Amazon floodplain. Radarsat-1 images were acquired from Dec/2003 to Oct/2005, and MODIS daily surface reflectance products were acquired for the two cloud-free dates closest to each Radarsat-1 acquisition. An object-based, hierarchical algorithm was developed using the temporal SAR information to discriminate Permanent Open Water (OW), Floodplain (FP) and Upland (UL) classes at Level 1, and then subdivide the FP class into Woody Vegetation (WV) and Possible Macrophytes (PM) at Level 2. At Level 3, optical and SAR information were combined to discriminate actual herbaceous cover at each date. The resulting maps had accuracies ranging from 80% to 90% for Level 1 and 2 classifications, and from 60% to 70% for Level 3 classifications, with kappa values ranging between 0.7 and 0.9 for Levels 1 and 2 and between 0.5 and 0.6 for Level 3. All study sites had noticeable variations in the extent of herbaceous cover throughout the hydrological year, with maximum areas up to four times larger than minimum areas. The proposed classification method was able to capture the spatial pattern of macrophyte growth and development in the studied area, and the multitemporal information was essential for both separating vegetation cover types and assessing monthly variation in herbaceous cover extent.

Análise multitemporal de indicadores geoambientais como subsídio ao plano de gestão ambiental - Floresta Nacional de Ipanema - SP

The objective of this research was to conduct an analysis of multitemporal landscape Ipanema National Forest, located in the municipalities of Iperó, Capela do Alto and Araçoiaba da Serra – São Paulo estate, Brazil, considering the scenarios of 1965, 2007 and 2011. The multitemporal analysis, using aerial photographs and satellite images, contributed to the contextualization and spatialization of the evolution of the landscape area. Through analysis interpretation of the images, performed by means of supervised classification were obtained thematic maps of the area, equivalent to approximately 53 km2. Through geoprocessing techniques, especially Geographic Information Systems, it was possible the integration and manipulation of data, both spatial and statistical, allowing integrated analysis of data from the entire area of the National Forest of Ipanema. As the main result, we found that the Ipanema National Forest is in landscape evolution positive, with those 46 years examined the increase of native heavy foliage areas. Increasing from 7.1 km2 of the total area of dense vegetation in 1965 to 35.9 km2 in 2011. Overall, it was possible to realize a scenario landscape quite optimistic about the evolution of forest conservation area

Análise-multitemporal da paisagem, potecialidades e fragilidades sob a ótica do uso e ocupação: destaque para as terras da Alta Bacia do Rio Taboco-MS

Pós-graduação em Geografia - IGCE

Imagens digitais aplicadas no estudo da análise multitemporal do uso e ocupação do solo numa microbacia

The knowledge of the soil occupation as for his nature, location, occurrence form, changes happened in certain periods, they are valuable for the programming of activities that you seek to the development agricultural, economical and social of the area. This work aimed at to identify and to quantify the soil occupation of Stream Petiço Watershed - Botucatu (SP), through the Geographical Information System IDRISI and data of sensor Landsat 5 TM of 09/06/97 and 23/08/2013. For the analysis of the results it was verified that the eucalyptus culture, due to existence of great reforestation companies in the watershed, together with the native forests they are predominant in the study area, the remaining of the area is occupied by pastures and soil prepared for the planting of agricultural cultures.

Dinâmica da ocupação do solo bacia do Rio Itiquira, Mato Grosso, Brasil

The study area corresponds to the basin of the Itiquira river high course, totalling 5,361km2. In this area a study of the environmental dynamics was made, applying SIG techniques and satellite images of the years 1966, 1985 and 1996. In 1966 the areas of natural vegetation (forests and groves) occupied 90.64% of the total of the area, which was diminished to 60.57% in 1985 and to only 36.66% in 1996. In this process, 289,382ha of a total of 485,928ha of natural vegetal covering had been lost. At the same time, the agrarian surfaces (agriculture and pasture) that occupied only 0.52% of the total area in 1966, increased to 34.89% in 1985 and to 59.04% in 1996. In 30 years there was an increase of 313,725ha of cultivated lands, corresponding to about 113 times the land occupation of the year of 1966 (2,798ha). The areas classified as urban show a gradual increase since 1966, from 39ha in 1996 to 58ha in 1985, and to 178ha in 1996. The other classes of soil use and occupation (reforestement areas, uncovered and affected by fire and humid areas) added were smaller than 4,27% in 1996.

Imagens multitemporais ALOS/PALSAR baseada em orientação a objeto na discriminação da cobertura da terra

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Sensoriamento remoto e geoestatística na caracterização espaço-temporal de plantas aquáticas

Pós-graduação em Ciências Cartográficas - FCT

Monitoramento das perdas de solo da sub-bacia Ribeirão das Bicas - Botucatu/SP, utilizando fotogrametria digital

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A dinâmica do uso da terra e sua interferência na morfohidrografia da Bacia do Arroio Santa Bárbara - Pelotas (RS)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Analise exergoeconômica aplicada a microgeração em condomínios residenciais

Pós-graduação em Engenharia Mecânica - FEG

Identificação da dinâmica espaço-temporal para estimar área cultivada de soja a partir de imagens MODIS no Rio Grande do Sul

The objective of this study was to define a method for estimating soybean crop area in the Northern Rio Grande do Sul state (Brazil). Overall, six different remote sensing methods were proposed based on spectral-temporal profile and minimum and maximum values of NDVI/MODIS related to the stages of sowing, maximum development and harvesting of soybean areas. The resulting estimates were compared to official crop area data provided by the Brazilian government, using statistical analysis and the fuzzy similarity method. The performance of each method depended on information such as crop size, type of crop management, and sowing/harvesting dates. Regression coefficients of determination and fuzzy agreement values were above 0.8 and 0.45, respectively, for all methods. For operational monitoring of soybean crop area, the empirical threshold applied to the image difference with inclusion of harvest image method was the most effective, producing estimates that matched closely the official data. For spatial analysis the application of multitemporal images classification method is recommended that generated a map of better quality. The efficiency of these methods should be evaluated in the areas of soybean expansion in the state.

Técnicas de geotecnologia na avaliação na área erodida na Bacia Hidrográfica Dois Córregos, Selviria-MS

Pós-graduação em Agronomia - FEIS

Combining ALOS/PALSAR derived vegetation structure and inundation patterns to characterize major vegetation types in the Mamiraua Sustainable Development Reserve, Central Amazon floodplain, Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Evolução morfológica do Rio do Peixe: estudo de uma avulsão na planície aluvial, a partir de uma análise regional integrada - Oeste Paulista (SP)

Pós-graduação em Geografia - FCT