Journal of Food, Agriculture and Environment
Ashraf A. 2020. Risk modeling of soil erosion under different land use
and rainfall conditions in Soan river basin, sub-Himalayan region and
mitigation options. Modeling Earth Systems and Environment6 : 417–428. DOI: 10.1007/s40808-019-00689-6
Ashraf A, Abuzar MK, Ahmad B, Ahmad MM, Hussain Q. 2017. Modeling risk
of soil erosion in high and medium rainfall zones of pothwar region,
Pakistan. Proceedings of the Pakistan Academy of Sciences: Part B54 : 67–77
Bai ZG, Dent DL, Olsson L, Schaepman ME. 2008. Proxy global assessment
of land degradation. Soil Use and Management 24 :
223–234. DOI: 10.1111/j.1475-2743.2008.00169.x
Borrelli P, Robinson DA, Fleischer LR, Lugato E, Ballabio C, Alewell C,
Meusburger K, Modugno S, Schütt B, Ferro V, Bagarello V, Oost K Van,
Montanarella L, Panagos P. 2017. An assessment of the global impact of
21st century land use change on soil erosion. Nature
Communications 8 . DOI: 10.1038/s41467-017-02142-7
Eckstein D, Künzel V, Schäfer L, Winges M. 2019. Global Climate
Risk Index 2020 . Bonn: Germanwatch
El Jazouli A, Barakat A, Ghafiri A, El Moutaki S, Ettaqy A, Khellouk R.
2017. Soil erosion modeled with USLE, GIS, and remote sensing: a case
study of Ikkour watershed in Middle Atlas (Morocco). Geoscience
Letters 4 . DOI: 10.1186/s40562-017-0091-6
ESA. 2018. Satellite Earth Observations in Support of the Sustainable
Development Goals. Report
Eswaran H, Lal R, Reich PF. 2001. Land degradation: an overview.Responses to Land degradation 20–35
FAO. 2010. Asia-pacific forests and forestry to 2020 report of the
second Asia-pacific forestry sector outlook study . Second
Asia-Pacific Forestry sector Outlook Study . Food and Agriculture
Organization (FAO): Rome, Italy
Farr TG, Rosen PA, Caro E, Crippen R, Duren R, Hensley S, Kobrick M,
Paller M, Rodriguez E, Roth L, Seal D, Shaffer S, Shimada J, Umland J,
Werner M, Oskin M, Burbank D, Alsdorf DE. 2007. The shuttle radar
topography mission. Reviews of Geophysics 45 . DOI:
10.1029/2005RG000183
Fischer G, Nachtergaele F, Prieler S, Velthuizen HT Van, Verelst L,
Wiberg D. 2008. Global Agro-ecological Zones (GAEZ v 2008) .IIASA, Laxenburg, Austria and FAO, Rome, Italy. iv . DOI:
10.1029/97GB03657
Galdino S, Sano EE, Andrade RG, Grego CR, Nogueira SF, Bragantini C,
Flosi AHG. 2016. Large-scale Modeling of Soil Erosion with RUSLE for
Conservationist Planning of Degraded Cultivated Brazilian Pastures.Land Degradation and Development 27 : 773–784. DOI:
10.1002/ldr.2414
Ganasri BP, Ramesh H. 2016. Assessment of soil erosion by RUSLE model
using remote sensing and GIS - A case study of Nethravathi Basin.Geoscience Frontiers 7 : 953–961. DOI:
10.1016/j.gsf.2015.10.007
Gelagay HS, Minale AS. 2016. Soil loss estimation using GIS and Remote
sensing techniques: A case of Koga watershed, Northwestern Ethiopia.International Soil and Water Conservation Research 4 :
126–136. DOI: 10.1016/j.iswcr.2016.01.002
Ghosal K, Das Bhattacharya S. 2020. A Review of RUSLE Model.Journal of the Indian Society of Remote Sensing . Springer India.
DOI: 10.1007/s12524-019-01097-0
Gilani H, Shrestha HL, Murthy MSR, Phuntso P, Pradhan S, Bajracharya B,
Shrestha B. 2015. Decadal land cover change dynamics in Bhutan.Journal of Environmental Management 148 : 91–100. DOI:
10.1016/j.jenvman.2014.02.014
Howland MD, Jones IWN, Najjar M, Levy TE. 2018. Quantifying the effects
of erosion on archaeological sites with low-altitude aerial photography,
structure from motion, and GIS: A case study from southern Jordan.Journal of Archaeological Science 90 : 62–70. DOI:
10.1016/j.jas.2017.12.008
Kamp U, Growley BJ, Khattak GA, Owen LA. 2008. GIS-based landslide
susceptibility mapping for the 2005 Kashmir earthquake region.Geomorphology 101 : 631–642. DOI:
http://dx.doi.org/10.1016/j.geomorph.2008.03.003
Kapalanga TS. 2008. A review of land degradation assessment methods.Land Restoration Training Programme Keldnaholt 112 :
17–68
Karger DN, Conrad O, Böhner J, Kawohl T, Kreft H, Soria-Auza RW,
Zimmermann NE, Linder HP, Kessler M. 2016. CHELSA climatologies at high
resolution for the earth’s land surface areas (Version 1.1). World
Data Center for Climate (WDCC) at DKRZ. DOI: 10.1594/WDCC/CHELSA_V1_1
Knisel WG. 1982. Field-scale model for chemicals, runoff, and erosion
from agricultural management systems. Modeling and Simulation,
Proceedings of the Annual Pittsburgh Conference . U.S. Department of
Agriculture, 327
Lamyaa K, M’bark A, Brahim I, Hicham A, Soraya M. 2018. Mapping Soil
Erosion Risk Using RUSLE, GIS, Remote Sensing Methods: A Case of
Mountainous Sub-watershed, Ifni Lake and High Valley of Tifnoute (High
Moroccan Atlas). Journal of Geography, Environment and Earth
Science International 14 : 1–11. DOI:
10.9734/jgeesi/2018/40322
Mitasova H, Hofierka J, Zlocha M, Iverson LR. 1996. Modelling
topographic potential for erosion and deposition using GIS.International Journal of Geographical Information Systems . DOI:
10.1080/02693799608902101
Morgan RPC, Morgan DDV, Finney HJ. 1984. A predictive model for the
assessment of soil erosion risk. Journal of Agricultural
Engineering Research . DOI: 10.1016/S0021-8634(84)80025-6
Morgan RPC, Quinton JN, Smith RE, Govers G, Poesen JWA, Auerswald K,
Chisci G, Torri D, Styczen ME. 1998. The European soil erosion model
(EUROSEM): a dynamic approach for predicting sediment transport from
fields and small catchments. Earth Surface Processes and
Landforms . DOI:
10.1002/(SICI)1096-9837(199806)23:6<527::AID-ESP868>3.0.CO;2-5
Nam PT, YANG D, KANAE S, OKI T, MUSIAKE K. 2003. Global Soil Loss
Estimate Using RUSLE Model: The Use of Global Spatial Datasets on
Estimating Erosive Parameters. Geoinformatics 14 :
49–53. DOI: 10.6010/geoinformatics.14.49
Nandi A, Shakoor A. 2010. A GIS-based landslide susceptibility
evaluation using bivariate and multivariate statistical analyses.Engineering Geology 110 : 11–20. DOI:
10.1016/j.enggeo.2009.10.001
Nasir A, Uchida K, Ashraf M. 2006. Estimation of Soil Erosion by Using
RUSLE and GIS for Small Mountainous Watersheds in Pakistan.