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.

Caracterização do grau de impermeabilização relativa das vertentes de uma bacia hidrográfica urbanizada: o exemplo do Córrego da Servidão - Rio Claro (SP)

The expansion and growth of towns affect the hydrology of watersheds included in the urban environment, impacting mainly the slopes and river channels. This interference can be in soil waterproofing, the runoff of rainwater, the extinction of surface drainage, the dynamics of flooding processes, etc. For studies concerning the hydrological behavior of watersheds, Remote Sensing techniques have been used to support the acquisition and analysis of data and also to generate new information from the integration of these data. In this context, the study aimed to characterize scenarios and conduct comparative analysis of urban occupation of parts of watershed the Córrego da Servidão, in Rio Claro (SP) and analyze the degree of waterproofing on the ground. With the support of the soil categories of waterproofing listed in Soil Conservation Service (S.C.S / USDA) this analysis was conducted, considering the scenarios of 1958 and 2006, through processes of interpretative analysis of panchromatic and color images aerofotogramétricas. The analysis, data integration and mapping of the watershed area were conducted in an environment of a Geographic Information System (GIS). Maps were obtained to characterize land cover in the watershed, showing the evolution of urban occupation, as well as indicating the densely built and waterproofed

Estimativa da erosão na microbacia do Córrego do Gambá no município de Monte Alto, SP

Pós-graduação em Agronomia (Ciência do Solo) - FCAV

Geocronologia de formas deposicionais e evolução da planície interleques do Rio Negro, quartenário da Bacia do Pantanal

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

Compartimentação e evolução geomorfolófica da borda ocidental da Serra da Canastra - MG

Pós-graduação em Geociências e Meio Ambiente - IGCE

Estimation of croplands using indicator kriging and fuzzy classification

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)