Comparison of mixing layer height inversion algorithms using lidar and a pollution case study in Baoding, China.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of environmental sciences"
DOI: 10.1016/j.jes.2018.11.003
Abstract: Beijing-Tianjin-Hebei area is suffering from atmospheric pollution from a long time. The understanding of the air pollution mechanism is of great importance for officials to design strategies for the environmental governance. Mixing layer height (MLH)… read more here.
Keywords: mixing layer; pollution; layer; layer height ... See more keywords
Analysis of seasonal effects on forest parameter estimation of Indian deciduous forest using TerraSAR-X PolInSAR acquisitions
Sign Up to like & getrecommendations! Published in 2017 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2017.07.019
Abstract: Abstract TerraSAR-X/TanDEM-X form the first space-borne interferometer providing full-PolInSAR acquisitions with a near-zero temporal gap. This paper explores the potential of X-band SAR data for forest height estimation over tropical Indian forests. Unique TanDEM-X data… read more here.
Keywords: estimation; polinsar acquisitions; height inversion; performance ... See more keywords
A Novel Iterative Reweighted Method for Forest Height Inversion Using Multibaseline PolInSAR Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3124094
Abstract: Multibaseline polarimetric synthetic aperture radar interferometry (PolInSAR) is one of the advanced technologies of forest height inversion, as it provides rich observation information. In this letter, we propose a new iterative reweighted method for multibaseline… read more here.
Keywords: forest height; height inversion; method; iterative reweighted ... See more keywords