Paper Reading Note | Enhancing the retrieval of stream surface temperature from Landsat data
重读一下！
因为对各种辐射不是很清楚导致对文章某些内容有点迷惑, 以下是我的理解：
之前的研究对于特别窄的河流LST的提取是默认选用3个pixel。
因为USGS没提供30m的band10和100m原生像元的对应位置，本研究假设了两者的相对位置，将在MNDVI河流内的100m分辨率的band10像元选中，再选中和30米网格对应的那部分作为 mask of pure
water thermal 30 m pixels ，本研究是对mask of pure water thermal 30 pixel先降尺度到10m，再重采样到100m,再降到30米，模拟了近岸效应，设置阈值对band10进行提取，消除了近岸辐射影响！
Pixels whose thermal radiance was affected by a maximum relative convolution error greater than 1.005 or lower than 0.995 were also masked out.
目前Landsat7和Landsat8中的C2L2波段已经采样到了30m的resolution
陌生词汇与概念
- leaving radiance
- downwelling sky radiance
- The surface water temperature was then obtained by inverting Planck's function
- impoundment 蓄水
- discharge 排水
- general-purpose 通用的 a general-purpose product is used for many different things, rather than one particular thing
- aquatic biota 水生生物群
Abstract
1.Introduce
2.Study Area
The study area encompasses 162 km of the lower Ebro River, in North East Spain, including the 90 km long Mequinenza reservoir, approximately 70 km of the upstream river reach and a 2 km-long river segment downstream of the Mequinenza dam
3.Methodology
3.1 Experimental data
3.1.1 Satellite imagery
TRIS
3.2. Mask of pure water pixels in optical bands
MNDWI
3.3. Retrieval of pure water pixels in the native thermal band
4.Results and discussion
5.Conclusions
……
[1] MARTÍ-CARDONA B, PRATS J, NICLÒS R. Enhancing the retrieval of stream surface temperature from Landsat data [J]. Remote Sensing of Environment, 2019, 224: 182-91.
