Kolleru lake, India’s largest fresh water lake, and lone Ramsar site in Andhra Pradesh state have undergone tremendous changes due to development of aquaculture. Large-scale aquaculture practices, increased industrial activity, increased number of human settlements, etc. have exploited the lake’s resources which created an extensive ecological imbalance, hence instabilising the sustainability process. The present study highlights the assessment of aquaculture in Kolleru lake using multi-temporal satellite datasets.
Fish museums across the world are a repository of historical data on fish abundance and occurrence. These occurrence points when mapped provide a picture of present-day and earlier fish distribution. The accuracy of the map will depend on how exhaustive the museum collection is for the area, and also on the museums’ collection practices (comprehensiveness and survey design).
Andaman and Nicobar Islands houses vivid ecological habitats with diverse set of ecosystems varying from low altitude sandy beach forest to high altitude dense humid evergreen forests. The islands on account of their isolation, harbors a phenomenal degree of endemic plants and animals species along with rich marine life. The present study, using the application of earth observation system and geospatial tools aims to compare and explore the intra variability of landscape structure as well as the diverse vegetation pattern in North Andaman and Baratang Islands of the Andaman group.
The present study investigates the potential of readily available and easily accessible global data sets to understand regional/local level interactions in wetland systems. The biogeographical zones of India were used a base-frame to select three sites. The study well fits the interests of National Wetland Committee of India to investigate and document fundamental information on wetland extent/distribution. The national partnership with SACON represents this interest.
The purpose of this study was to identify the potential site for sustainable aquaculture development in Mymensingh district using GIS as a tool.
This paper is based on a first phase of a study in the Muthurajawela-Negombo wetland complex and aims to assess the overall spatial linkages between ecological and socioeonomic aspects of the wetland system using a geospatial model; incorporating biophysical and socioeconomic parameters for analysing and modelling the changes in the coastal wetland-agriculture-aquaculture complex.
A multiple purpose wetland inventory is being developed and promoted through partnerships and specific analyses at different scales in response to past uncertainties and gaps in inventory coverage. A partnership approach is being promoted through the Ramsar Convention on Wetlands to enable a global inventory database to be compiled from individual projects and analyses using remote sensing and GIS. Individual projects that are currently part of this global effort are described.
Bleached corals provide a strong optical signal that suggest that remote sensing investigations of major bleaching events are feasible using airborne or satellite sensors. However, patchy coral cover, varying intensities of bleaching, and water depths are likely to limit the application of remoter sensing techniques in monitoring and mapping coral bleaching. Today, satellite multi-spectral sensors routinely provide images of reefs from 4 m (Ikonos) to 30 m resolution (Landsat); however, the adequacy of these sensors for monitoring and mapping bleaching events remains unclear.
Regular monitoring of wetlands is an essential element of management for 'wise use'. Indeed, the Ramsar convention requires routine monitoring in order to detect changes in the ecological character at listed sites. However, there are few examples of monitoring of tropical wetlands on a sustained basis in the world. In the present study, we quantified land use/land cover changes in the lone Ramsar site, the Kolleru Wildlife Sanctuary of Andhra Pradesh, India between 1977 and 2007 using remote sensing and GIS techniques.
The present study outlines an approach to classify forest density and to estimate canopy closure of the forest of the Andaman and Nicobar archipelago. The vector layers generated for the study area using satellite data was validated with the field knowledge of the surveyed ground control points. The framework developed would serve as a significant measure to forest health and evaluate management concerns whilst addressing issues such as gap identification, conservation prioritisation and disaster management -- principally to the post-tsunami assessment and analysis.