Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, GeoCis (Geotechnologies in Soil Science Group (https://esalqgeocis.wixsite.com/english), Ave Padua Dias 11, Piracicaba, Sao Paulo, 13418-900, Brazil.
Sci Rep. 2020 Mar 10;10(1):4461. doi: 10.1038/s41598-020-61408-1.
The Earth's surface dynamics provide essential information for guiding environmental and agricultural policies. Uncovered and unprotected surfaces experience several undesirable effects, which can affect soil ecosystem functions. We developed a technique to identify global bare surface areas and their dynamics based on multitemporal remote sensing images to aid the spatiotemporal evaluation of anthropic and natural phenomena. The bare Earth's surface and its changes were recognized by Landsat image processing over a time range of 30 years using the Google Earth Engine platform. Two additional products were obtained with a similar technique: a) Earth's bare surface frequency, which represents where and how many times a single pixel was detected as bare surface, based on Landsat series, and b) Earth's bare soil tendency, which represents the tendency of bare surface to increase or decrease. This technique enabled the retrieval of bare surfaces on 32% of Earth's total land area and on 95% of land when considering only agricultural areas. From a multitemporal perspective, the technique found a 2.8% increase in bare surfaces during the period on a global scale. However, the rate of soil exposure decreased by ~4.8% in the same period. The increase in bare surfaces shows that agricultural areas are increasing worldwide. The decreasing rate of soil exposure indicates that, unlike popular opinion, more soils have been covered due to the adoption of conservation agriculture practices, which may reduce soil degradation.
地球表面动态为指导环境和农业政策提供了重要信息。裸露和无保护的表面会经历多种不良影响,从而影响土壤生态系统功能。我们开发了一种基于多时相遥感图像识别全球裸地面积及其动态的技术,以辅助人为和自然现象的时空评估。通过在谷歌地球引擎平台上使用 Landsat 图像处理,在 30 年的时间范围内识别出裸地表面及其变化。使用类似的技术还获得了另外两个产品:a)地球裸地表面频率,它表示基于 Landsat 系列,单个像素被检测为裸地表面的次数和位置;b)地球裸土倾向,表示裸地表面增加或减少的趋势。该技术能够检索到地球总陆地面积的 32%和仅考虑农业区时的 95%的裸地表面。从多时相的角度来看,该技术在全球范围内发现裸地表面在这一时期增加了 2.8%。然而,同期土壤暴露率下降了约 4.8%。裸地表面的增加表明,全球范围内农业区正在增加。土壤暴露率的下降表明,与普遍观点相反,由于采用了保护性农业实践,更多的土壤得到了覆盖,这可能会减少土壤退化。