2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)最新文献_第2页

Omnibus test for change detection in a time sequence of polarimetric SAR data 偏振SAR数据时间序列变化检测的综合测试

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729878

A. Nielsen, K. Conradsen, H. Skriver

引用次数: 8

The Havemann-Taylor Fast Radiative Transfer Code: A line-by-line sensor independent Radiative Transfer Code 哈夫曼-泰勒快速辐射传输代码:一个逐行传感器独立的辐射传输代码

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730031

J. Thelen, S. Havemann

{"title":"The Havemann-Taylor Fast Radiative Transfer Code: A line-by-line sensor independent Radiative Transfer Code","authors":"J. Thelen, S. Havemann","doi":"10.1109/IGARSS.2016.7730031","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730031","url":null,"abstract":"The Havemann-Taylor Fast Radiative Transfer Code (HT-FRTC) is based on Principal Components (PCs) and allows fast and exact radiance and/or transmittance calculations. It is ideally suited for the simulation of hyperspectral sensors with hundreds or thousands of channels. The HT-FRTC can simulate a full instrument spectrum for any atmosphere and surface within a few milliseconds. It works for satellite-based, airborne and ground-based sensors. The code has been applied in any part of the spectrum from the short-wave to the long-wave (i.e. infrared plus microwave). It includes the solar and the lunar source and can account for the spherical Earth. The HT-FRTC has been incorporated into a one-dimensional variational (1D-Var) retrieval system that also works solely in PC space. This keeps the dimensions of the matrices involved small. The solution of the full non-linear problem is achieved by an iterative Levenberg-Marquardt minimization procedure. The retrieval state vector includes the vertical profiles of atmospheric temperature, water vapour and ozone, and possibly other trace gases as well as the surface temperature and surface emissivity / reflectivity (the latter being represented by a set of PCs). For a scattering atmosphere, cloud parameters and aerosol parameters have been added to the state vector. The cloud part of the state vector for cirrus cloud includes cloud-top pressure, ice water content, cloud fraction and cloud geometrical thickness. For water cloud there is also an effective droplet size.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115673174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Observation of tide from X-band marine radar image sequences 从x波段海洋雷达图像序列观测潮汐

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729644

Zhong-Zhong Chen, Yijun He, Jiayi Pan, Biao Zhang, X. Chu

引用次数: 1

Band selection of hyperspectral data with low-rank doubly stochastic matrix decomposition 基于低秩双随机矩阵分解的高光谱数据波段选择

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729002

Jiming Li

引用次数: 1

A canopy radiative transfer model suitable for heterogeneous Agro-Forestry scenes 适用于异质农林场景的冠层辐射转移模型

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729945

Yelu Zeng, Jing Li, Qinhuo Liu, Gaofei Yin, Baodong Xu, Weiliang Fan, Jing Zhao

{"title":"A canopy radiative transfer model suitable for heterogeneous Agro-Forestry scenes","authors":"Yelu Zeng, Jing Li, Qinhuo Liu, Gaofei Yin, Baodong Xu, Weiliang Fan, Jing Zhao","doi":"10.1109/IGARSS.2016.7729945","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729945","url":null,"abstract":"Landscape heterogeneity is a common natural phenomenon but is seldom considered in current radiative transfer models for predicting the surface reflectance. This paper developed an analytical Radiative Transfer model for heterogeneous Agro-Forestry scenes (RTAF). The scattering contribution of the non-boundary regions can be estimated from the SAILH model as homogeneous canopies, whereas that of the boundary regions is calculated based on the bidirectional gap probability by considering the interactions and mutual shadowing effects among different patches. The multi-angular airborne observations and Discrete Anisotropic Radiative Transfer (DART) model simulations were used to validate and evaluate the RTAF model over an agro-forestry scene in Heihe River Basin, China. The results suggest the RTAF model can accurately simulate the hemispherica-directional reflectance factors (HDRFs) of the heterogeneous scenes in the red and near-infrared (NIR) bands. The boundary effect can significantly influence the angular distribution of the HDRFs and consequently enlarge the HDRF variations between the backward and forward directions. Compared with the widely used dominant cover type (DCT) and spectral linear mixture (SLM) models, the RTAF model reduced the maximum relative error from 25.7% (SLM) and 23.0% (DCT) to 9.8% in the red band, and from 19.6% (DCT) and 13.7% (SLM) to 8.7% in the NIR band. The RTAF model provides a promising way to improve the retrieval of biophysical parameters (e.g. leaf area index) from remote sensing data over heterogeneous agro-forestry scenes.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123169048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Multi-temporal analysis of land surface dynamics in the Yellow River Basin (China) 黄河流域陆面动态的多时相分析

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730422

Christian Wohlfart, Gaohuan Liu, Chong Huang, C. Kuenzer

引用次数: 0

WMO Integrated Global Observing Systems (WIGOS) - current and future needs WMO综合全球观测系统(WIGOS) -当前和未来的需求

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730437

Wenjian Zhang

引用次数: 0

Taking advantage of Sentinel-1 acquisition modes to improve ocean sea state retrieval 利用Sentinel-1采集模式改进海洋海况检索

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730009

R. Husson, A. Mouche, B. Chapron, H. Johnsen, F. Collard, Pauline Vincent, G. Guitton, N. Longépé, G. Hajduch, Y. Quilfen, L. Gaultier

引用次数: 1

Assessment of near-nadir correlation characteristics over water bodies using interferometric SAR: Implications for the swot mission 利用干涉SAR评估水体近最低点相关特征:对swot任务的影响

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729833

D. Moller, G. Farquharson, D. Esteban-Fernandez

引用次数: 3

Unsupervised parallel SBAS-DInSAR chain for massive and systematic Sentinel-1 data processing 面向海量系统Sentinel-1数据处理的无监督并行SBAS-DInSAR链

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730010

M. Manunta, M. Bonano, S. Buonanno, F. Casu, C. Luca, A. Fusco, R. Lanari, M. Manzo, C. Ojha, A. Pepe, I. Zinno

引用次数: 8