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- Maina, John Nyongesah; Li, Pingheng; Xu, Lu; Wang, Quan
- International journal of remote sensing 2019 v.40 no.9 pp. 3504-3517
- Tamarix ramosissima; acclimation; basins; canopy; chlorophyll; data collection; dry environmental conditions; ecosystems; hinterland; leaves; light intensity; nitrogen content; normalized difference vegetation index; photochemistry; photosynthesis; reflectance; remote sensing; seasonal variation; vegetation; China
- ... Remotely sensed spectral reflectance data have provided avenues for large-scale non-destructive estimation of temporal and spatial variations of physiological processes in plants. This study established the potential for tracking (chlorophyll) chl-a:b ratio in Tamarix ramosissima based on -leaf-scale photochemical reflectance index (PRI) at Fukang Station of Desert Ecology in the hinterland of the ...
- Karila, Kirsi; Matikainen, Leena; Litkey, Paula; Hyyppä, Juha; Puttonen, Eetu
- International journal of remote sensing 2019 v.40 no.9 pp. 3289-3307
- automation; data collection; growing season; land cover; leaves; lidar; remote sensing; roads; seasonal variation; suburban areas; trees
- ... Multispectral airborne laser scanning (MS-ALS) sensors are a new promising source of data for automated mapping methods. Finding an optimal time for data acquisition is important in all mapping applications based on remotely sensed datasets. In this study, three MS-ALS datasets acquired at different times of the growing season were compared for automated land cover mapping and road detection in a ...