Land use change detection and impact assessment in Anzali international coastal wetland using multi-temporal satellite images

Abstract

Anzali is one of the 18 Iranian wetlands of international importance listed in Ramsar Convention. This unique ecosystem in the world with high ecological diversity is highly threatened by various factors such as pollutants, sedimentation, unauthorized development of urban infrastructure, over-harvesting of wetland resources, land use changes, and invasive species. Among which, one of the most challenging destructive factors, land use change, was scrutinized in this study. For this, remotely sensed data and Geographical Information System (GIS) were used to detect land changes and corresponding impacts on the study area over a 38-year period from 1975 to 2013.. Changes in the study area were traced in five dominant land-use classes at four time intervals of 1975, 1989, 2007, and 2013. Accordingly, changes in different categories were quantified using satellite images. The methodology adopted in this study includes an integrated approach of supervised classification, zonal and object-oriented image analyses. According to the Kappa coefficient of 0.84 for the land use map of 2013, the overall accuracy of the method was estimated at 89%, which indicated that this method can be useful for monitoring and behavior analysis of other Iranian wetlands. The obtained results revealed extensive land use changes over the study period. As the results suggest, between the years 1975 to 2013, approximately 6500 ha (∼69%) rangeland area degraded. Further, urban and agricultural areas have been extended by 2982 ha (∼74%) and 2228 ha (∼6%), respectively. This could leave a negative impact on water quality of the wetland.

PEMETAAN SEBARAN LAHAN BASAH MENGGUNAKAN FUZZY LOGIC Studi Kasus Di Desa Murung Asam, Kabupaten Hulu Sungai Utara

“…Teknik penginderaan jauh memberikan solusi dalam mengatasi kendala umum yang sering terjadi dalam pemetaan kawasan yang sebagian besar merupakan hamparan lahan basah (Mousazadeh et al, 2015). Ketersediaan informasi dalam bentuk peta dapat memudahkan kegiatan analisis spasial seperti dengan melakukan kombinasi data lahan basah menggunakan data spasial atau data non spasial lainnya (Tiner, 2017).…”

Demographic variables and stock status of pike,Esox lucius, in the commercial fishery in the Anzali Wetland (SW Caspian Sea) near the southern limits of its distribution range

“…6-28.4°C and 5.3-11.4°C in summer and winter, respectively (Saemi Komsari et al, 2013). The wetland is shallow with a maximum water depth of 3 m. During the past 50 years, the average water depth has reduced significantly from 10 to 2 m and decreased to half a meter in some parts (Nazarhaghighi et al, 2014;Mousazadeh et al, 2015). The Anzali Wetland (freshwater with salinity below 0.5) is separated from the Caspian Sea by a dune system; the passage to the sea has a width of 426 m (Nazarhaghighi et al, 2014).…”

“…1). The former is deeper (2.5-3 m) with an open water area of 1900 ha while the latter is shallower (1 m) with an area of 1214 ha and enormous growth of floating and emergent plants (Mansoori, 2009;Mousazadeh et al, 2015). Considering the inflowing rivers and water level (Hargalani et al, 2014), these two areas are easily accessible and support the main part of the commercial fishery in the Anzali Wetland.…”

Dynamics Analysis and Prediction on the Land Use of Typical Karst Wetland Watershed in Southeast Yunnan, China

“…Therefore, it is necessary for monitoring the dynamic changes in land use to protect the environment or to ensure the sustainable development of resources [4] . The remote sensing images can be used to verify the variation of land use with time [5] , and remote sensing technology is widely recognized as a tool to monitor the use of land use trends appropriately and accurately [6] .…”