Very little information exist on lake environment in Northern Cameroon. The objective of this study is to determine the colonisation plant Lake Dang using field and remote sensing data from LM, Landsat5, Landsat7 Landsat8 images, over a 45-year period (1975-2020), spaced 15 years apart (1975; 1990; 2005; 2020). method diachronic analysis satellite was used supervised classification approach bas...

As a cascading disaster, the surge caused by reservoir bank landslide seriously affects stability of and dam body. In addition, large-scale hydropower projects are usually built in mountain canyon areas with active geological structure movement, which provides rich material sources for occurrence landslides, so it is great significance to monitor deformation source area reservoir. science techn...

Underground coal fires have become a worldwide disaster, which brings serious environmental pollution and massive energy waste. Xinjiang is one of the regions that seriously affected by underground fires. After years extinguishing, fire areas in not been significantly reduced yet. To extinguish fires, it critical to identify monitor them. Recently, remote sensing technologies showing great pote...

O objetivo do estudo foi estimar, por meio de sensoriamento remoto (OLI/LANDSATA 8 – LS8), as concentrações clorofila-a (Cl-a) e carbono orgânico total (COT). Entre 2017 2018 foram realizadas seis coletas amostras água nos reservatórios Umari Mendubim, no semiárido nordestino, para determinação dos valores Cl-a COT. Foram calculados os coeficientes correlação entre bandas espectrais das imagens...

In recent years, geological disasters have frequently occurred on basarlt highway slopes. Studying the stability of slopes in this type area is great significance for traffic safety. However, due to high cost and low efficiency traditional monitoring experimental methods slope engineering, these are not conducive quick comprehensive identification regional stability. Due iron content basalt, st...

近年来随着人类的活动日益加剧,水体富营养化问题已经严重威胁到湖泊生态安全。为了快速并准确地获取藻华爆发的范围,本文提出浮游藻类指数线性拟合模型 (FAI linear fitting model,FAI-L)。在以往的研究中,NDVI(normalized difference vegetation index)已经广泛应用于藻华的识别中,且采用坡度计算获取NDVI阈值的方法也得到验证,相对于NDVI,FAI对环境条件的改变敏感度较低,且由于FAI增加了短红外波段,能够有效地降低部分大气和薄云的影响,对藻华的识别有较高的精度,但是FAI识别藻华的阈值如何确定的问题没有有效的解决办法。本文通过建立NDVI与FAI的线性拟合方程,利用NDVI阈值确定FAI阈值,能够有效地解决FAI阈值确定问题。通过Landsat8和Sentinel-2的提取结果显示:(1)FAI-L相对于NDVI提取结...