Abstract:
Wetlands are the most important ecosystem of the earth which is providing many ecosystem services, functions,
and values and considering as the kidney of the environment and it controls everything like the water cycle,
carbon cycle, sediment and nutrient cycles in the system. Wetlands, the cradles of biodiversity and key constituent
of our environment, are among the most productive ecosystems housing more or less all floral and faunal
taxonomic units. However, wetlands continue to decline and permanently lost globally, both in area and in quality.
Wetlands histories show us, wetlands have been degraded, altered, and altogether removed from the landscape
as a result of direct and indirect human influences in all corner of the world. Therefore, wetland ecosystem needs
to make frequent monitoring, inventory and designing feasible management system. This requires some special
tools which able to access large cover, fragmented and complex wetland ecosystem like remote sensing
technologies. Satellite remote sensing techniques play a great role in this regard. Wetlands environment is
relatively horrible and complex ecosystem due to its unknown and elusive depth, composition and structure.
Moreover, aquatic and wetland ecosystems are cover large area of earth’s surface. Wetland environment is
extended coverage of the land surface and complex system as compared to other ecosystem such as forest and
water. Collecting data in this area using in situ measurement or ground based approach is hard and difficult. For
this, satellite remote sensing application has indispensable advantage for monitoring and managing wetland
ecosystem. However, the application of satellite remote sensing on wetland monitoring and inventory has facing a
challenge in developing country’s researcher who couldn’t get enough research budgets that directly affect
satellite data quality. To get high quality data like QUICK BIRD, SPOT and IKOKNS by ordering from the producers,
it is time taking and the price of this data extremely expensive unless some sponsor organization is found.
Therefore, it is challenging for young and developing Country’s researcher and they are forced to use open source
satellite remote sensing data which are low in resolution. Except Landsat, sentinel and some other satellite data
which are low in spatial, temporal and spectral resolution, Satellite data like IKONS, QUICK BIRD, and SPOT are
providing high quality data but commercial (not accessible freely for research).
