Browsing by Author "Atesoglu A."

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How good is TanDEM-X 50 m forest/non-forest map? Product validation using temporally corrected geo-browser supplied imagery through Collect Earth
(2023-01-01) Akturk E.; Altunel A.O.; Atesoglu A.; Seki M.; Erpay S.
TanDEM-X Forest/Non-Forest (FNF) map(s) have been one such data focusing on the status of global forest coverage, which has played an essential role in combating climate change. Although the producers have carried out verification and comparison analyses, the need for accuracy assessments in a broader sense creates uncertainties for the users to approve the new data. For this purpose, TanDEM-X 50 m FNF maps were exclusively examined visually through 66,000 test grids within 30 geocells selected from temperate, boreal, and tropical forest zones. Thus, it was aimed to provide product accuracy utilizing visual inspections to the end users of TanDEM-X FNF maps. In addition, Collect Earth (CE) software was used to evaluate the dataset visually, and its advantages or disadvantages were compared with similarly designed studies. Consequently, even though the producers’ data sets were found to have an accuracy of around 85%, it was observed that there were some issues, especially in the definition of the “non-forest” class. CE software was found to be helpful in such studies. However, the dependence of the analyses on geo-browser supplied imagery had some limitations in estimating the accuracy of a new dataset.
Monitoring of Land- Cover/Land- Use changes in Syria by involving the collect earth methodology approach
(2020-12-01) Atesoglu A.; Akturk E.; Rasouli A.; Erpay S.; Ozel H.B.
Land-cover/Land-use (LC/LU) monitoring is important for the ecosystem and climate change intends. The LC/LU change sector plays and will continue to play a crucial role in international efforts for decision making and planning. Monitoring, evaluating and reporting according to international agreements in LC/LU change is still a challenging task difficult task due to government instability, war or conflict situation in some countries. What happened in Syria in recent years is an example of this situation too. In this context, different methods based on remote sensing are used to produce more sensitive and accurate data. Thus, in this study used to Collect Earth methodology, that multi-purpose land monitoring using remote sensing and Geographic information system integrated, for accurately estimating LC/LU change between 2000 and 2018 in Syria. Recently, The Food and Agriculture Organization (FAO) to assist countries in collecting, managing and analysing land-cover and land-use information have released Open Foris Collect Earth software. Besides, there are not enough and current studies for studies in line with the international LC/LU categories and classification principles in Syria. Overall, the article provides basic results which distribution of LC/LU classes according to the Intergovernmental Panel on Climate Change (IPCC), monitoring the current status and change of forest, pasture or woody vegetation, agricultural fields and wetlands, LC/LU change between 2000-2018, habitat loss-gain and revealing the effects of war on the land.