Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Miraç Kılıç"'
1
Akademický článek
Comparison of Recent Remote Sensing Data Using an Artificial Neural Network to Predict Soil Moisture by Focusing on Radiometric Indices
Autor: Miraç Kılıç, Recep Gündoğan
Publikováno v: Turkish Journal of Agriculture: Food Science and Technology, Vol 10, Iss 12, Pp 2438-2445 (2022)
Remote sensing data is widely used as a common variable for digital soil mapping estimating models. The aim of this study, quite recently made available to researchers Operational Land Imager 2 (OLI–2) have structure Landsat 9 and Landsat 8 (OLI) a
Externí odkaz: https://doaj.org/article/a56788f5f0c344c19dcd2a5e54dc2160
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2
Akademický článek
Accuracy Assessment of Kriging, artificial neural network, and a hybrid approach integrating spatial and terrain data in estimating and mapping of soil organic carbon.
Autor: Miraç Kılıç, Recep Gündoğan, Hikmet Günal, Bilal Cemek
Publikováno v: PLoS ONE, Vol 17, Iss 5, p e0268658 (2022)
This study aimed to produce a soil organic carbon (SOC) content map with high accuracy and spatial resolution using the most effective factors in the model. The spatial SOC estimation success of Inverse Distance Weighting (IDW), Ordinary Kriging (OK)
Externí odkaz: https://doaj.org/article/2e2d392494ed4cd49a09786e0135b0a1
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8
Improvement of Spatial Estimation for Soil Organic Carbon Stocks in Yuksekova Plain using Sentinel 2 imagery and Gradient Descent Boosted Regression Tree
Autor: Mesut Budak, Elif Günal, Miraç Kılıç, İsmail Çelik, Mesut Sırrı, Nurullah Acir
Carbon sequestration in earth surface is higher than the atmosphere, and the amount of carbon stored in wetlands is much greater than all other land surfaces. The purpose of this study was to estimate soil organic carbon stocks (SOCS) and investigate
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::416c79817f9b8adc2d362926862a65c6
https://doi.org/10.21203/rs.3.rs-2216970/v1
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Plný text Recenzováno Digitální knihovna AV ČR
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