DYNAMIC CHANGES IN MANGROVE FOREST AND LU/LC VARIATION ANALYSIS OVER INDIAN SUNDARBAN DELTA IN WEST BENGAL (INDIA) USING MULTI-TEMPORAL SATELLITE DATA

Abstract Mediterranean regions have experienced significant soil degradation over the past decades. In this context, careful land observation using satellite data is crucial for understanding the long-term usage patterns of natural resources and facilitating their sustainable management to monitor and evaluate the potential degradation. Given the environmental and political interest on this problem, there is urgent need for a centralized repository and mechanism to share geospatial data, information and maps of land change. Geospatial data collecting is one of the most important task for many users because there are significant barriers in accessing and using data. This limit could be overcome by implementing a WebGIS through a combination of existing free and open source software for geographic information systems (FOSS4G). In this paper we preliminary discuss methods for collecting raster data in a geodatabase by processing open multi-temporal and multi-scale satellite data aimed at retrieving indicators for land degradation phenomenon (i.e. land cover/land use analysis, vegetation indices, trend analysis, etc.). Then we describe a methodology for designing a WebGIS framework in order to disseminate information through maps for territory monitoring. Basic WebGIS functions were extended with the help of POSTGIS database and OpenLayers libraries. Geoserver was customized to set up and enhance the website functions developing various advanced queries using PostgreSQL and innovative tools to carry out efficiently multi-layer overlay analysis. The end-product is a simple system that provides the opportunity not only to consult interactively but also download processed remote sensing data.

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Analysis of Mangrove Forest Change from Multi-Temporal Landsat Imagery Using Google Earth Engine Application : (Case Study: Belitung Archipelago 1990 - 2020)

10.1109/agers53903.2021.9617354 ◽

2021 ◽

Author(s):

Iqbal Maulana Cipta ◽

Fahmi Adnizar Sobarman ◽

Hartanto Sanjaya ◽

Mohammad Rohmaneo Darminto

Keyword(s):

Mangrove Forest ◽

Landsat Imagery ◽

Google Earth ◽

Forest Change ◽

Multi Temporal ◽

Google Earth Engine

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How can traditional livelihoods find a place in contemporary conservation politics debates in India? Understanding community perspectives in Sundarban, West Bengal

Journal of Political Ecology ◽

10.2458/v24i1.20971 ◽

2017 ◽

Vol 24 (1) ◽

pp. 861 ◽

Cited By ~ 4

Author(s):

Amrita Sen ◽

Sarmistha Pattanaik

Keyword(s):

Political Ecology ◽

West Bengal ◽

Ethnographic Study ◽

Environmental Knowledge ◽

Cultural Integrity ◽

Community Perspectives ◽

Indian Sundarban ◽

Conservation Politics ◽

Ecological Relations ◽

Conservation Conflict

Abstract We document the economic and socio-cultural vulnerability of a forest-dependent community inhabiting the forest fringe island of Satjelia in the Indian Sundarban. Using simple artisanal methods, they have practiced traditional livelihoods like fishing and collecting wild honey from the forests for more than a century. Despite having established cultural integrity and traditional occupations, this group is not indigenous, and are therefore treated as 'others' and 'settlers.' An ethnographic study describes these various forms of livelihoods and the ways that threatens local subsistence. We also document the bureaucratic and hierarchical structure of protected area (PA) management, showing it has little or no accommodation of this community's local traditional knowledge. Finally, we ask whether there is any scope for integrating 'non-indigenous' environmental knowledge, for a more egalitarian transformation of socio ecological relations within these communities. Keywords: Conservation, conflict, indigenous, political ecology, Sundarban, traditional livelihoods

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Early stage variable rate nitrogen fertilization of silage maize driven by multi-temporal clustering of archive satellite data

Advances in Animal Biosciences ◽

10.1017/s2040470017000103 ◽

2017 ◽

Vol 8 (2) ◽

pp. 288-292 ◽

Cited By ~ 5

Author(s):

R. Casa ◽

F. Pelosi ◽

S. Pascucci ◽

F. Fontana ◽

F. Castaldi ◽

...

Keyword(s):

Satellite Data ◽

Nitrogen Fertilization ◽

Early Stage ◽

Central Italy ◽

N Fertilization ◽

Yield Potential ◽

Variable Rate ◽

Landsat Images ◽

Silage Maize ◽

Multi Temporal

Nitrogen fertilization of silage maize in Central Italy is typically carried out with two applications at early stages of crop development: 2nd (V2) and 6th (V6) leaf respectively. In such conditions, the crop has not yet fully covered the soil and proximal or remote sensing of the canopy is hindered by the strong soil background signal. There is thus great interest in rapid and inexpensive approaches to N fertilization prescription. Therefore, an indirect method for inferring information on yield potential and soil variability, through a field-based clustering of multi-temporal satellite data, has been developed using archive Landsat images to identify temporally constant patterns. This method is potentially useful for the creation of prescription maps. The usefulness of the method was evaluated during an N fertilisation field trial in Maccarese (Central Italy), in 2016. At the V2 stage, both uniform and variable rate applications were performed and compared. A pseudo-cross variogram and a standardized ordinary co-kriging methodology was used to highlight spatially variable significant differences among the treatments.

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