Mapping of Crop Management Factor (C) for Sylhet Sadar using Remote Sensing and GIS

A. G. Polash, M. Islam
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Abstract

Sylhet Sadar suffers from excessive rainfall causing the enormous soil loss in this area. C-factor is one of the most important parameter of the Universal Soil Loss Equation (USLE) and revised version of USLE for estimating soil loss. The current study was conducted for determining the crop management factor (C) using remote sensing (RS) and geographical information system (GIS) tools. Satellite images (Landsat 7 ETM+ of 2000, 2010 and Landsat 8 OLI-TIRS of 2020) of the study area were analyzed using ArcGIS 10.5 and ENVI 5.1 software to generate maps for land use and land cover (LULC), normalized differential vegetative index (NDVI) and crop management factor (C). Results showed that the percentage of each LULC classes from 2000 to 2020 was changed over time. There was rapid growth in crop land, water bodies and settlement areas between 2000 and 2020 while the same period observed lessening in vegetation coverage. The relationship between C-factor and vegetation indices such as NDVI was identified. As NDVI and C-factor values are correlated, both lowest and highest NDVI (-0.506–0.629) and C-factor value (0.185–0.753) was found at the same year (2000). By the next 20 years in 2020, the highest NDVI value reduced to 0.373 and lowest C-factor value increased to 0.314 indicates that vegetation coverage of the study area is decreasing. To ensure proper soil management it is therefore imperative to encourage forest regeneration activities, tree planting exercises, crop rotation, conservation tillage practices and shrub growth schemes.
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基于遥感和GIS的锡尔赫特萨达尔作物管理因子(C)制图
Sylhet Sadar遭受过度降雨,导致该地区大量土壤流失。c因子是通用土壤流失方程(USLE)及USLE修订版中估算土壤流失量的重要参数之一。本研究利用遥感(RS)和地理信息系统(GIS)工具确定作物经营因子(C)。利用ArcGIS 10.5和ENVI 5.1软件对研究区2000年、2010年Landsat 7 ETM+和2020年Landsat 8 OLI-TIRS卫星影像进行分析,生成土地利用和土地覆被(LULC)、归一化植被指数(NDVI)和作物经营因子(C)图。结果表明:2000 - 2020年各类型LULC所占比例随时间变化。2000 - 2020年期间,耕地、水体和居民点面积快速增长,同期植被覆盖面积减少。确定了c因子与NDVI等植被指数之间的关系。由于NDVI与c因子值存在相关性,在同一年(2000年)NDVI和c因子值均为最低和最高(-0.506-0.629)和最高(0.185-0.753)。到2020年,未来20 a NDVI最高值降至0.373,c因子最低值降至0.314,表明研究区植被覆盖度呈下降趋势。因此,为了确保适当的土壤管理,必须鼓励森林再生活动、植树活动、作物轮作、养护耕作方法和灌木生长计划。
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