Vorovencii Iosif
Forest Engineering, Forest Management Planning and Terrestrial Measurements Department, Faculty of Silviculture and Forest Engineering, Transilvania University of Brasov, Beethoven street nr. 1, 500123, Brasov, Romania.
Environ Monit Assess. 2017 Sep 26;189(10):524. doi: 10.1007/s10661-017-6234-6.
The desertification risk affects around 40% of the agricultural land in various regions of Romania. The purpose of this study is to analyse the risk of desertification in the south-west of Romania in the period 1984-2011 using the change vector analysis (CVA) technique and Landsat thematic mapper (TM) satellite images. CVA was applied to combinations of normalised difference vegetation index (NDVI)-albedo, NDVI-bare soil index (BI) and tasselled cap greenness (TCG)-tasselled cap brightness (TCB). The combination NDVI-albedo proved to be the best in assessing the desertification risk, with an overall accuracy of 87.67%, identifying a desertification risk on 25.16% of the studied period. The classification of the maps was performed for the following classes: desertification risk, re-growing and persistence. Four degrees of desertification risk and re-growing were used: low, medium, high and extreme. Using the combination NDVI-albedo, 0.53% of the analysed surface was assessed as having an extreme degree of desertification risk, 3.93% a high degree, 8.72% a medium degree and 11.98% a low degree. The driving forces behind the risk of desertification are both anthropogenic and climatic causes. The anthropogenic causes include the destruction of the irrigation system, deforestation, the destruction of the forest shelterbelts, the fragmentation of agricultural land and its inefficient management. Climatic causes refer to increase of temperatures, frequent and prolonged droughts and decline of the amount of precipitation.
荒漠化风险影响着罗马尼亚不同地区约40%的农业用地。本研究的目的是利用变化向量分析(CVA)技术和陆地卫星专题制图仪(TM)卫星图像,分析1984 - 2011年期间罗马尼亚西南部的荒漠化风险。CVA应用于归一化植被指数(NDVI)-反照率、NDVI-裸土指数(BI)以及缨帽绿度(TCG)-缨帽亮度(TCB)的组合。结果表明,NDVI-反照率组合在评估荒漠化风险方面表现最佳,总体准确率为87.67%,确定在研究期的25.16%存在荒漠化风险。地图分类针对以下类别进行:荒漠化风险、恢复生长和持续状态。荒漠化风险和恢复生长分为四个等级:低、中、高和极高。利用NDVI-反照率组合,分析区域中0.53%被评估为具有极高程度的荒漠化风险,3.93%为高程度,8.72%为中等程度,11.98%为低程度。荒漠化风险背后的驱动力包括人为因素和气候因素。人为因素包括灌溉系统破坏、森林砍伐、防护林带破坏、农田碎片化及其低效管理。气候因素是指气温升高、频繁且持久的干旱以及降水量减少。