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Creation of RUSLE C factor maps using remote sensing techniques: Kırıkkale/Sarıkızlı basin

Yıl 2021, Cilt 7, Sayı 2, 143 - 151, 30.12.2021
https://doi.org/10.53516/ajfr.992673

Öz

Erosion is one of the most important physical mechanisms causing landscape degradation. Many habitats can be affected as a result of soil losses. It is necessary to know the distribution and amount of soil losses in order to improve landscapes degraded by erosion. The Revised Universal Soil Loss Equation (RUSLE) is a mathematical model used to estimate soil losses. In this study, it is aimed to estimate and map the cover management factor (C factor), which is one of the parameters of the RUSLE model, on a monthly by remote sensing and Geographic Information System (GIS) in the Sarıkızlı basin. For RUSLE-C factor value, Normalized Difference Vegetation Index (NDVI) map was produced from satellite images and then spatially calculated using an exponential regression equation. RUSLE-C factor has the lowest value of 0.24 ± 0.20 in June and the highest value of 0.75 ± 0.18 in December. The most important feature of the RUSLE-C factor is that it helps in determining the areas sensitive to degradation by monitoring the change and how to take soil conservation measures. As a result, the spatial determination of landscape degradation in a faster time with remote sensing/GIS /erosion model integration will enable the reclamation to be done faster, economically, and accurately.

Kaynakça

  • Aga, A. O., Chane, B., Melesse, A. M., 2018. Soil erosion modelling and risk assessment in data scarce rift valley lake regions, Ethiopia. Water, 10(11), 1684.
  • Almagro, A., Thomé, T. C., Colman, C. B., Pereira, R. B., Junior, J. M., Rodrigues, D. B. B., Oliveira, P.T.S., 2019. Improving cover and management factor (C-factor) estimation using remote sensing approaches for tropical regions. International Soil and Water Conservation Research, 7(4), 325-334.
  • Angima, S. D., Stott, D. E., O’Neill, M. K., Ong, C. K., Weesies, G. A., 2003. Soil erosion prediction using RUSLE for Central Kenyan Highland conditnons. Agriculture Ecosystems and Environment, 97, 295-308.
  • Benavidez, R. A., 2018. Understanding the effect of changing land use on floods and soil erosion in the Cagayan de Oro catchment, (Unpublished doctoral dissertation), Victoria University of Wellington, New Zealand.
  • Berberoglu, S., Cilek, A., Kirkby, M., Irvine, B., Donmez, C., 2020. Spatial and temporal evaluation of soil erosion in Turkey under climate change scenarios using the Pan-European Soil Erosion Risk Assessment (PESERA) model. Environmental Monitoring and Assessment, 192(8), 1-22.
  • Biddoccu, M., Ferraris, S., Opsi, F., Cavallo, E., 2016. Long-term monitoring of soil management effects on runoff and soil erosion in sloping vineyards in Alto Monferrato (North–West Italy). Soil and Tillage Research, 155, 176-189. Bogunovic, I., Pereira, P., Kisic, I., Sajko, K., & Sraka, M., 2018. Tillage management impacts on soil compaction, erosion and crop yield in Stagnosols (Croatia). Catena, 160, 376-384.
  • Carlson, T. N, Ripley, D. A., 1997. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment, 62(3), 241-252. Cinnirella,, S., Iovino, F., Porto, P., Ferro, V., 1998. Anti‐erosive effectiveness of Eucalyptus coppices through the cover management factor estimate. Hydrological processes, 12(4), 635-649.
  • Demirci, A., & Karaburun, A., 2012. Estimation of soil erosion using RUSLE in a GIS framework: a case study in the Buyukcekmece Lake watershed, northwest Turkey. Environmental Earth Sciences, 66(3), 903-913.
  • Durigon, V, Carvalho, D.F, Antunes, M. A. H, Oliveira, P. T. S, Fernandes, M. M., 2014. NDVI time series for monitoring RUSLE cover management factor in a tropical watershed. International Journal of Remote Sensing, 35(2), 441-453.
  • Erdogan, E. H., Erpul, G., & Bayramin, İ., 2007. Use of USLE/GIS methodology for predicting soil loss in a semiarid agricultural watershed. Environmental Monitoring and Assessment, 131(1), 153-161.
  • Gabriels, D., Ghekiere, G., Schiettecatte, W., Rottiers, I., 2003. Assessment of USLE cover-management C-factors for 40 crop rotation systems on arable farms in the Kemmelbeek watershed, Belgium. Soil and Tillage Research, 74(1), 47-53.
  • Ganasri, B. P., & Ramesh, H., (2016). Assessment of soil erosion by RUSLE model using remote sensing and GIS-A case study of Nethravathi Basin. Geoscience Frontiers, 7(6), 953-961.
  • Golosov, V. N., Collins, A. L., Dobrovolskaya, N. G., Bazhenova, O. I., Ryzhov, Y. V., & Sidorchuk, A. Y., 2021. Soil loss on the arable lands of the forest-steppe and steppe zones of European Russia and Siberia during the period of intensive agriculture. Geoderma, 381, 114678.
  • Hacısalihoğlu, S., Mert, A., Negiz, M. G, Muys, B., 2010. Soil loss prediction using universal soil loss equation (USLE) simulation model in a mountainous area in Aglasun district, Turkey. African Journal of Biotechnology, 9(24), 3589.
  • Hudson, N. W., Jackson, D. C., 1959. Results achieved in the measurement of Erosion and Run-off in Southern Rhodesia. In Conférence interafricaine sur les sols. 3, 575-583.
  • Ismail, J., Ravichandran, S., 2008. RUSLE2 model application for soil erosion assessment using remote sensing and GIS. Water Resources Management, 22(1): 83-102.
  • Karaburun, A., 2010. Estimation of C factor for soil erosion modeling using NDVI in Buyukcekmece watershed. Ozean Journal of Applied Sciences, 3(1): 77–85.
  • Kirkby, M. J., Irvine, B. J., Jones, R. J., Govers, G. 2008. The PESERA coarse scale erosion model for Europe. I.–Model rationale and implementation. European Journal of Soil Science, 59(6), 1293-1306.
  • Laflen, J. M, Colvin, T. S., 1981. Effect of crop residue on soil loss from continuous row cropping. Transactions of the ASAE, 24(3), 605-609.
  • Lense, G. H. E, Moreira, R. S, Bócoli, F. A, Avanzi, J. C, Teodoro, A. E. D. M, Mincato, R. L., 2020. Estimation of sediments produced in a subbasin using the Normalized Difference Vegetation Index. Ciência e Agrotecnologia, 44.
  • Maetens, W, Vanmaercke, M, Poesen, J, Jankauskas, B, Jankauskiene, G, Ionita, I., 2012. Effects of land use on annual runoff and soil loss in Europe and the Mediterranean: A meta-analysis of plot data. Progress in Physical Geography, 36(5), 599-653.
  • Maltsev, K., & Yermolaev, O., 2020. Assessment of soil loss by water erosion in small river basins in Russia. Catena, 195, 104726.
  • Mohammed, S., Alsafadi, K., Talukdar, S., Kiwan, S., Hennawi, S., Alshihabi, O., ... & Harsanyie, E., 2020. Estimation of soil erosion risk in southern part of Syria by using RUSLE integrating geo informatics approach. Remote Sensing Applications: Society and Environment, 20, 100375.
  • Morgan, R. P. C., 2009. Soil erosion and conservation. John Wiley & Sons.
  • Mukharamova, S., Saveliev, A., Ivanov, M., Gafurov, A., & Yermolaev, O., 2021. Estimating the Soil Erosion Cover-Management Factor at the European Part of Russia. ISPRS International Journal of Geo-Information, 10(10), 645. Mutchler, C. K., McDowell, L. L., Johnson, J. R., 1985. Erosion from reduced-till cotton. In Proceedings of the 1985 Southern Region No-Till Conference, Griffin, GA pp. 156-158.
  • Oliveira, P. T. S, Nearing, M. A., Wendland, E., 2015. Orders of magnitude increase in soil erosion associated with land use change from native to cultivated vegetation in a Brazilian savannah environment. Earth Surface Processes and Landforms, 40(11), 1524-1532.
  • Ozcan, A. U., Erpul, G., Basaran, M., & Erdogan, H. E., 2008. Use of USLE/GIS technology integrated with geostatistics to assess soil erosion risk in different land uses of Indagi Mountain Pass—Cankırı, Turkey. Environmental Geology, 53(8), 1731-1741.
  • Özcan, A. U., 2016. CBS ve RUSLE teknolojisi yardımıyla Çankırı-Ekinne Göleti su toplama havzasında toprak kayıplarının tahmin edilmesi. TÜCAUM Uluslararası CoğrafyaSempozyumu, 668-674, Ankara.
  • Özcan, A. U, Aytaş, İ., 2020. Effects of soil erosion on doline lake degradation within karst landscapes: Bakkal Lake, Turkey. Environmental Monitoring and Assessment, 192(140).
  • Özcan, A. U., 2021. Sulakyurt Kalıntı Anadolu Palamut Meşesi (Quercus ithaburensis Decne subsp. macrolepis (Kotschy) Hedge & Yalt.) Ormanı, tehditler ve koruma önerileri. Turkish Journal of Forestry, 22(1), 8-16.
  • Özhan, S, Balcı, N, Özyuvacı, N, Hızal, A, Gökbulak, F. ve Serengil, Y., 2005. Cover and management factors for the universal soilloss equation for forest ecosystems in The Marmara Region, Turkey. Forest and Ecology Management, 214, 118–123.
  • Panagos, P., Borrelli, P., Meusburger, K., Alewell, C., Lugato, E., & Montanarella, L., 2015. Estimating the soil erosion cover-management factor at the European scale. Land use policy, 48, 38-50.
  • Panagos, P., Balbabio, C., Monatanarella, L., 2016. Mapping topsoil physical properties at European scale using the LUCAS database. Geoderma. 261, 110-123.
  • Panagos, P, Imeson, A, Meusburger, K, Borrelli, P, Poesen, J, Alewell, C., 2016. Soil conservation in Europe: wish or reality? Land Degradation & Development, 27(6), 1547-1551.
  • Pena, S. B, Abreu, M. M., Magalhães, M. R., Cortez, N., 2020. Water erosion aspects of land degradation neutrality to landscape planning tools at national scale. Geoderma, 363, 114093.
  • Pınar, M. Ö., Şahin, S., Madenoğlu, S., Erpul, G., 2020. Derinöz Baraj Havzası’nda şiddetli erozyon alanlarının belirlenmesi ve rezervuar sediment yükünün hesaplanmasi. Su Kaynakları, 5(2), 16-23.
  • Polykretis, C., Alexakis, D. D., Grillakis, M. G., & Manoudakis, S., 2020. Assessment of intra-annual and inter-annual variabilities of soil erosion in Crete Island (Greece) by incorporating the Dynamic “Nature” of R and C-Factors in RUSLE modeling. Remote Sensing, 12(15), 2439.
  • Purevdorj, T. S., Tateishi, R., Ishiyama, T., Honda, Y., 1998. Relationships between percent vegetation cover and vegetation indices. International Journal of Remote Sensing, 19(18), 3519-3535.
  • Renard, K. G., 1997. Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). United States Government Printing.
  • Renard, K. G., Foster, G. R., Weesies, G. A., Porter, J. P., 1991. RUSLE: Revised universal soil loss equation. Journal of Soil and Water Conservation, 46(1), 30-33.
  • Renard, K. G, Foster, G. A, Weesies, D. A., McCool, D. K, Yoder, D. C., 1997. Predicting Soil Erosion by Water: a Guide to Conservation Planning with The Revised Universal Soil Loss Equation (RUSLE), Agriculture Handbook No. 703. USDA, Washington, DC.
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Uzaktan algılama teknikleri kullanarak RUSLE-C faktör haritalarının oluşturulması: Kırıkkale/Sarıkızlı havzası

Yıl 2021, Cilt 7, Sayı 2, 143 - 151, 30.12.2021
https://doi.org/10.53516/ajfr.992673

Öz

Peyzaj bozulmalarına sebep olan en önemli fiziksel etkiler arasında erozyon başta gelmektedir. Toprak kayıpları sonucunda birçok habitat etkilenebilmektedir. Erozyon sonucu bozulmuş peyzajların iyileştirilmesi için toprak kayıplarının dağılımının ve miktarının bilinmesi gerekmektedir. Yenilenmiş Evrensel Toprak Kaybı Eşitliği (RUSLE) toprak kayıplarının tahmin edilmesin de kullanılan matematiksel bir modeldir. Bu çalışmada, Sarıkızlı Çayı havzasında uzaktan algılama ve Coğrafi Bilgi Sistemleri (CBS) kullanılarak RUSLE modeli parametrelerinden olan bitki yönetim faktörünün (C faktör) aylık olarak tahmin edilmesi ve haritalarının oluşturulması amaçlanmıştır. RUSLE-C faktör değerleri uydu görüntülerinden Normalize Edilmiş Fark Bitki İndeksi (NDVI) haritaları üretilerek ve sonra üstel regresyon eşitliği kullanılarak mekânsal olarak hesaplanmıştır. RUSLE-C faktörü en düşük haziran ayında 0,24±0,20, en yüksek aralık ayında 0,75±0,18 değerini almıştır. RUSLE-C faktörün en önemli özelliği değişiminin izlenmesi ile hassas alanların belirlenmesi ve de toprak koruma önlemlerinin nasıl alınması gerektiği konusunda yardımcı olmasıdır. Sonuç olarak, uzaktan algılama/CBS/erozyon model entegrasyonu ile peyzaj bozulmalarının mekânsal olarak daha hızlı sürede belirlenmesi onarımın daha hızlı, ekonomik ve doğru olarak yapılmasını sağlayacaktır.

Kaynakça

  • Aga, A. O., Chane, B., Melesse, A. M., 2018. Soil erosion modelling and risk assessment in data scarce rift valley lake regions, Ethiopia. Water, 10(11), 1684.
  • Almagro, A., Thomé, T. C., Colman, C. B., Pereira, R. B., Junior, J. M., Rodrigues, D. B. B., Oliveira, P.T.S., 2019. Improving cover and management factor (C-factor) estimation using remote sensing approaches for tropical regions. International Soil and Water Conservation Research, 7(4), 325-334.
  • Angima, S. D., Stott, D. E., O’Neill, M. K., Ong, C. K., Weesies, G. A., 2003. Soil erosion prediction using RUSLE for Central Kenyan Highland conditnons. Agriculture Ecosystems and Environment, 97, 295-308.
  • Benavidez, R. A., 2018. Understanding the effect of changing land use on floods and soil erosion in the Cagayan de Oro catchment, (Unpublished doctoral dissertation), Victoria University of Wellington, New Zealand.
  • Berberoglu, S., Cilek, A., Kirkby, M., Irvine, B., Donmez, C., 2020. Spatial and temporal evaluation of soil erosion in Turkey under climate change scenarios using the Pan-European Soil Erosion Risk Assessment (PESERA) model. Environmental Monitoring and Assessment, 192(8), 1-22.
  • Biddoccu, M., Ferraris, S., Opsi, F., Cavallo, E., 2016. Long-term monitoring of soil management effects on runoff and soil erosion in sloping vineyards in Alto Monferrato (North–West Italy). Soil and Tillage Research, 155, 176-189. Bogunovic, I., Pereira, P., Kisic, I., Sajko, K., & Sraka, M., 2018. Tillage management impacts on soil compaction, erosion and crop yield in Stagnosols (Croatia). Catena, 160, 376-384.
  • Carlson, T. N, Ripley, D. A., 1997. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment, 62(3), 241-252. Cinnirella,, S., Iovino, F., Porto, P., Ferro, V., 1998. Anti‐erosive effectiveness of Eucalyptus coppices through the cover management factor estimate. Hydrological processes, 12(4), 635-649.
  • Demirci, A., & Karaburun, A., 2012. Estimation of soil erosion using RUSLE in a GIS framework: a case study in the Buyukcekmece Lake watershed, northwest Turkey. Environmental Earth Sciences, 66(3), 903-913.
  • Durigon, V, Carvalho, D.F, Antunes, M. A. H, Oliveira, P. T. S, Fernandes, M. M., 2014. NDVI time series for monitoring RUSLE cover management factor in a tropical watershed. International Journal of Remote Sensing, 35(2), 441-453.
  • Erdogan, E. H., Erpul, G., & Bayramin, İ., 2007. Use of USLE/GIS methodology for predicting soil loss in a semiarid agricultural watershed. Environmental Monitoring and Assessment, 131(1), 153-161.
  • Gabriels, D., Ghekiere, G., Schiettecatte, W., Rottiers, I., 2003. Assessment of USLE cover-management C-factors for 40 crop rotation systems on arable farms in the Kemmelbeek watershed, Belgium. Soil and Tillage Research, 74(1), 47-53.
  • Ganasri, B. P., & Ramesh, H., (2016). Assessment of soil erosion by RUSLE model using remote sensing and GIS-A case study of Nethravathi Basin. Geoscience Frontiers, 7(6), 953-961.
  • Golosov, V. N., Collins, A. L., Dobrovolskaya, N. G., Bazhenova, O. I., Ryzhov, Y. V., & Sidorchuk, A. Y., 2021. Soil loss on the arable lands of the forest-steppe and steppe zones of European Russia and Siberia during the period of intensive agriculture. Geoderma, 381, 114678.
  • Hacısalihoğlu, S., Mert, A., Negiz, M. G, Muys, B., 2010. Soil loss prediction using universal soil loss equation (USLE) simulation model in a mountainous area in Aglasun district, Turkey. African Journal of Biotechnology, 9(24), 3589.
  • Hudson, N. W., Jackson, D. C., 1959. Results achieved in the measurement of Erosion and Run-off in Southern Rhodesia. In Conférence interafricaine sur les sols. 3, 575-583.
  • Ismail, J., Ravichandran, S., 2008. RUSLE2 model application for soil erosion assessment using remote sensing and GIS. Water Resources Management, 22(1): 83-102.
  • Karaburun, A., 2010. Estimation of C factor for soil erosion modeling using NDVI in Buyukcekmece watershed. Ozean Journal of Applied Sciences, 3(1): 77–85.
  • Kirkby, M. J., Irvine, B. J., Jones, R. J., Govers, G. 2008. The PESERA coarse scale erosion model for Europe. I.–Model rationale and implementation. European Journal of Soil Science, 59(6), 1293-1306.
  • Laflen, J. M, Colvin, T. S., 1981. Effect of crop residue on soil loss from continuous row cropping. Transactions of the ASAE, 24(3), 605-609.
  • Lense, G. H. E, Moreira, R. S, Bócoli, F. A, Avanzi, J. C, Teodoro, A. E. D. M, Mincato, R. L., 2020. Estimation of sediments produced in a subbasin using the Normalized Difference Vegetation Index. Ciência e Agrotecnologia, 44.
  • Maetens, W, Vanmaercke, M, Poesen, J, Jankauskas, B, Jankauskiene, G, Ionita, I., 2012. Effects of land use on annual runoff and soil loss in Europe and the Mediterranean: A meta-analysis of plot data. Progress in Physical Geography, 36(5), 599-653.
  • Maltsev, K., & Yermolaev, O., 2020. Assessment of soil loss by water erosion in small river basins in Russia. Catena, 195, 104726.
  • Mohammed, S., Alsafadi, K., Talukdar, S., Kiwan, S., Hennawi, S., Alshihabi, O., ... & Harsanyie, E., 2020. Estimation of soil erosion risk in southern part of Syria by using RUSLE integrating geo informatics approach. Remote Sensing Applications: Society and Environment, 20, 100375.
  • Morgan, R. P. C., 2009. Soil erosion and conservation. John Wiley & Sons.
  • Mukharamova, S., Saveliev, A., Ivanov, M., Gafurov, A., & Yermolaev, O., 2021. Estimating the Soil Erosion Cover-Management Factor at the European Part of Russia. ISPRS International Journal of Geo-Information, 10(10), 645. Mutchler, C. K., McDowell, L. L., Johnson, J. R., 1985. Erosion from reduced-till cotton. In Proceedings of the 1985 Southern Region No-Till Conference, Griffin, GA pp. 156-158.
  • Oliveira, P. T. S, Nearing, M. A., Wendland, E., 2015. Orders of magnitude increase in soil erosion associated with land use change from native to cultivated vegetation in a Brazilian savannah environment. Earth Surface Processes and Landforms, 40(11), 1524-1532.
  • Ozcan, A. U., Erpul, G., Basaran, M., & Erdogan, H. E., 2008. Use of USLE/GIS technology integrated with geostatistics to assess soil erosion risk in different land uses of Indagi Mountain Pass—Cankırı, Turkey. Environmental Geology, 53(8), 1731-1741.
  • Özcan, A. U., 2016. CBS ve RUSLE teknolojisi yardımıyla Çankırı-Ekinne Göleti su toplama havzasında toprak kayıplarının tahmin edilmesi. TÜCAUM Uluslararası CoğrafyaSempozyumu, 668-674, Ankara.
  • Özcan, A. U, Aytaş, İ., 2020. Effects of soil erosion on doline lake degradation within karst landscapes: Bakkal Lake, Turkey. Environmental Monitoring and Assessment, 192(140).
  • Özcan, A. U., 2021. Sulakyurt Kalıntı Anadolu Palamut Meşesi (Quercus ithaburensis Decne subsp. macrolepis (Kotschy) Hedge & Yalt.) Ormanı, tehditler ve koruma önerileri. Turkish Journal of Forestry, 22(1), 8-16.
  • Özhan, S, Balcı, N, Özyuvacı, N, Hızal, A, Gökbulak, F. ve Serengil, Y., 2005. Cover and management factors for the universal soilloss equation for forest ecosystems in The Marmara Region, Turkey. Forest and Ecology Management, 214, 118–123.
  • Panagos, P., Borrelli, P., Meusburger, K., Alewell, C., Lugato, E., & Montanarella, L., 2015. Estimating the soil erosion cover-management factor at the European scale. Land use policy, 48, 38-50.
  • Panagos, P., Balbabio, C., Monatanarella, L., 2016. Mapping topsoil physical properties at European scale using the LUCAS database. Geoderma. 261, 110-123.
  • Panagos, P, Imeson, A, Meusburger, K, Borrelli, P, Poesen, J, Alewell, C., 2016. Soil conservation in Europe: wish or reality? Land Degradation & Development, 27(6), 1547-1551.
  • Pena, S. B, Abreu, M. M., Magalhães, M. R., Cortez, N., 2020. Water erosion aspects of land degradation neutrality to landscape planning tools at national scale. Geoderma, 363, 114093.
  • Pınar, M. Ö., Şahin, S., Madenoğlu, S., Erpul, G., 2020. Derinöz Baraj Havzası’nda şiddetli erozyon alanlarının belirlenmesi ve rezervuar sediment yükünün hesaplanmasi. Su Kaynakları, 5(2), 16-23.
  • Polykretis, C., Alexakis, D. D., Grillakis, M. G., & Manoudakis, S., 2020. Assessment of intra-annual and inter-annual variabilities of soil erosion in Crete Island (Greece) by incorporating the Dynamic “Nature” of R and C-Factors in RUSLE modeling. Remote Sensing, 12(15), 2439.
  • Purevdorj, T. S., Tateishi, R., Ishiyama, T., Honda, Y., 1998. Relationships between percent vegetation cover and vegetation indices. International Journal of Remote Sensing, 19(18), 3519-3535.
  • Renard, K. G., 1997. Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). United States Government Printing.
  • Renard, K. G., Foster, G. R., Weesies, G. A., Porter, J. P., 1991. RUSLE: Revised universal soil loss equation. Journal of Soil and Water Conservation, 46(1), 30-33.
  • Renard, K. G, Foster, G. A, Weesies, D. A., McCool, D. K, Yoder, D. C., 1997. Predicting Soil Erosion by Water: a Guide to Conservation Planning with The Revised Universal Soil Loss Equation (RUSLE), Agriculture Handbook No. 703. USDA, Washington, DC.
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Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Arif ÖZTÜRK>
ÇANKIRI KARATEKİN ÜNİVERSİTESİ, ORMAN FAKÜLTESİ
0000-0002-3774-7138
Türkiye


Ali Uğur ÖZCAN> (Sorumlu Yazar)
ÇANKIRI KARATEKİN ÜNİVERSİTESİ
0000-0002-9046-8074
Türkiye

Teşekkür Bu yayın, Arif Öztürk'ün Çankırı Karatekin Üniversitesi Fen Bilimleri Peyzaj Mimarlığı ABD hazırlamış olduğu yükseklisans çalışmasından üretilmiştir.
Yayımlanma Tarihi 30 Aralık 2021
Başvuru Tarihi 8 Eylül 2021
Kabul Tarihi 23 Kasım 2021
Yayınlandığı Sayı Yıl 2021, Cilt 7, Sayı 2

Kaynak Göster

Bibtex @araştırma makalesi { ajfr992673, journal = {Anadolu Orman Araştırmaları Dergisi}, issn = {1309-856X}, eissn = {2564-7660}, address = {}, publisher = {Çankırı Karatekin Üniversitesi}, year = {2021}, volume = {7}, number = {2}, pages = {143 - 151}, doi = {10.53516/ajfr.992673}, title = {Uzaktan algılama teknikleri kullanarak RUSLE-C faktör haritalarının oluşturulması: Kırıkkale/Sarıkızlı havzası}, key = {cite}, author = {Öztürk, Arif and Özcan, Ali Uğur} }
APA Öztürk, A. & Özcan, A. U. (2021). Uzaktan algılama teknikleri kullanarak RUSLE-C faktör haritalarının oluşturulması: Kırıkkale/Sarıkızlı havzası . Anadolu Orman Araştırmaları Dergisi , 7 (2) , 143-151 . DOI: 10.53516/ajfr.992673
MLA Öztürk, A. , Özcan, A. U. "Uzaktan algılama teknikleri kullanarak RUSLE-C faktör haritalarının oluşturulması: Kırıkkale/Sarıkızlı havzası" . Anadolu Orman Araştırmaları Dergisi 7 (2021 ): 143-151 <https://dergipark.org.tr/tr/pub/ajfr/issue/67524/992673>
Chicago Öztürk, A. , Özcan, A. U. "Uzaktan algılama teknikleri kullanarak RUSLE-C faktör haritalarının oluşturulması: Kırıkkale/Sarıkızlı havzası". Anadolu Orman Araştırmaları Dergisi 7 (2021 ): 143-151
RIS TY - JOUR T1 - Uzaktan algılama teknikleri kullanarak RUSLE-C faktör haritalarının oluşturulması: Kırıkkale/Sarıkızlı havzası AU - ArifÖztürk, Ali UğurÖzcan Y1 - 2021 PY - 2021 N1 - doi: 10.53516/ajfr.992673 DO - 10.53516/ajfr.992673 T2 - Anadolu Orman Araştırmaları Dergisi JF - Journal JO - JOR SP - 143 EP - 151 VL - 7 IS - 2 SN - 1309-856X-2564-7660 M3 - doi: 10.53516/ajfr.992673 UR - https://doi.org/10.53516/ajfr.992673 Y2 - 2021 ER -
EndNote %0 Anadolu Orman Araştırmaları Dergisi Uzaktan algılama teknikleri kullanarak RUSLE-C faktör haritalarının oluşturulması: Kırıkkale/Sarıkızlı havzası %A Arif Öztürk , Ali Uğur Özcan %T Uzaktan algılama teknikleri kullanarak RUSLE-C faktör haritalarının oluşturulması: Kırıkkale/Sarıkızlı havzası %D 2021 %J Anadolu Orman Araştırmaları Dergisi %P 1309-856X-2564-7660 %V 7 %N 2 %R doi: 10.53516/ajfr.992673 %U 10.53516/ajfr.992673
ISNAD Öztürk, Arif , Özcan, Ali Uğur . "Uzaktan algılama teknikleri kullanarak RUSLE-C faktör haritalarının oluşturulması: Kırıkkale/Sarıkızlı havzası". Anadolu Orman Araştırmaları Dergisi 7 / 2 (Aralık 2021): 143-151 . https://doi.org/10.53516/ajfr.992673
AMA Öztürk A. , Özcan A. U. Uzaktan algılama teknikleri kullanarak RUSLE-C faktör haritalarının oluşturulması: Kırıkkale/Sarıkızlı havzası. AOAD. 2021; 7(2): 143-151.
Vancouver Öztürk A. , Özcan A. U. Uzaktan algılama teknikleri kullanarak RUSLE-C faktör haritalarının oluşturulması: Kırıkkale/Sarıkızlı havzası. Anadolu Orman Araştırmaları Dergisi. 2021; 7(2): 143-151.
IEEE A. Öztürk ve A. U. Özcan , "Uzaktan algılama teknikleri kullanarak RUSLE-C faktör haritalarının oluşturulması: Kırıkkale/Sarıkızlı havzası", Anadolu Orman Araştırmaları Dergisi, c. 7, sayı. 2, ss. 143-151, Ara. 2021, doi:10.53516/ajfr.992673