Zhengjia Liu , Yihang Huang , Yongsheng Wang , Zhaosheng Wang
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Secondly, by overlaying evaluation indictors of WFF construction, we found over 96% of constant croplands had WFF construction potentials. Slope and fractional vegetation coverage (FVC) showed evidently spatial differences, which comprehensively reflected the potentials and difficulties of WFF construction. Therefore, an index SF, by considering normalized slope and FVC, was subsequently introduced to rank potential WFF construction priorities. According to the completion ratio and the assumption that giving priorities to develop better basic condition regions, batches of WFF construction areas were identified under the equal proportion planning scenario for each county (S1). Besides, a scenario of city-wide unified planning (S2) was also discussed. WFF construction areas in S2 were further concentrated in northwestern counties compared to those in S1. Both scenarios recommended that construction priorities were given to northwestern counties. 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引用次数: 0
摘要
良好农田(WFF)建设对农业可持续发展负有重大责任。如何定量规划农田水利设施建设的分布和进度仍然是一个挑战。因此,本研究引入了一种简单而稳健的方法,以典型的旱地榆林市为研究对象,基于公开数据从空间上识别其潜在的井田建设区域,并从时间上确定建设重点。通过将卫星观测到的耕地与基于调查的统计数据相结合,本研究首先获得了常量耕地的密度图。我们发现,榆林市的常住耕地密度由西向东递减。西部的靖边县和定边县分布相对密集。其次,通过叠加水冲厕建设的评价指标,我们发现超过 96% 的恒定耕地具有水冲厕建设潜力。坡度和植被覆盖率(FVC)表现出明显的空间差异,综合反映了水冲厕建设的潜力和困难。因此,在考虑归一化坡度和植被覆盖率的基础上,引入了 SF 指数,对潜在的水冲厕建设重点进行排序。根据完成比例和优先发展基础条件较好地区的假设,在各县等比例规划方案(S1)下,确定了成批的水论坛建设区域。此外,还讨论了全市统一规划的方案(S2)。与 S1 方案相比,S2 方案中的 WFF 建设区进一步集中在西北部县区。两种方案都建议将建设重点放在西北部县区。本研究可为安排水论坛建设的分布和进度提供有价值的参考。
Identifying the potential construction areas and priorities of well-facilitated farmlands by developing a simple but robust method: A case study in dryland agriculture regions based on public data
Well-facilitated farmland (WFF) construction is greatly responsible for agricultural sustainable development. How to quantitatively plan the WFF construction distribution and schedule is still challenging. This study thus introduced a simple but robust method, and took the typical dryland Yulin city to spatially identify its potential WFF construction areas and temporally determine construction priorities based on public data. By integrating satellite-observed croplands with survey-based statistical data, this study firstly obtained density maps of constant croplands. We found that constant cropland densities decreased from west to east in Yulin city. Jingbian and Dingbian counties of the west gave relatively dense distributions. Secondly, by overlaying evaluation indictors of WFF construction, we found over 96% of constant croplands had WFF construction potentials. Slope and fractional vegetation coverage (FVC) showed evidently spatial differences, which comprehensively reflected the potentials and difficulties of WFF construction. Therefore, an index SF, by considering normalized slope and FVC, was subsequently introduced to rank potential WFF construction priorities. According to the completion ratio and the assumption that giving priorities to develop better basic condition regions, batches of WFF construction areas were identified under the equal proportion planning scenario for each county (S1). Besides, a scenario of city-wide unified planning (S2) was also discussed. WFF construction areas in S2 were further concentrated in northwestern counties compared to those in S1. Both scenarios recommended that construction priorities were given to northwestern counties. This study could provide valuable references for arranging distributions and schedules of WFF construction.
期刊介绍:
The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.