نتایج جستجو برای: multi temporal remotely sensed data

تعداد نتایج: 2938409  

2009
Michael J. Falkowski Michael A. Wulder Joanne C. White Mark D. Gillis

Information needs associated with forest management and reporting requires data with a steadily increasing level of detail and temporal frequency. Remote sensing satellites commonly used for forest monitoring (eg, Landsat, SPOT) typically collect imagery with suffi cient temporal frequency, but lack the requisite spatial and categorical detail for some forest inventory information needs. Aerial...

Journal: :Remote Sensing 2017
Jie Xue Yee Leung Tung Fung

Remote sensing provides rich sources of data for the monitoring of land surface dynamics. However, single-sensor systems are constrained from providing spatially high-resolution images with high revisit frequency due to the inherent sensor design limitation. To obtain images high in both spatial and temporal resolutions, a number of image fusion algorithms, such as spatial and temporal adaptive...

Journal: Pollution 2018

The present study is the first attempt to examine temporal and spatial characteristics of aerosol properties and classify their modes over Iran. The data used in this study include the records of Aerosol Optical Depth (AOD) and Angstrom Exponent (AE) from MODerate Resolution Imaging Spectroradiometer (MODIS) and Aerosol Index (AI) from the Ozone Monitoring Instrument (OMI), obtained from 2005 t...

Journal: :Remote Sensing 2023

Plant diversity measurement and monitoring are required for reversing biodiversity loss ensuring sustainable management. Traditional methods have been using in situ measurements to build multivariate models connecting environmental factors species diversity. Developments remotely sensed datasets, processing techniques, machine learning provide new opportunities assessing relevant parameters est...

Journal: :Bulletin of the Ecological Society of America 2005

2015
Xin Tian Zengyuan Li Erxue Chen Qinhuo Liu Guangjian Yan Jindi Wang Zheng Niu Shaojie Zhao Xin Li Yong Pang Zhongbo Su Christiaan van der Tol Qingwang Liu Chaoyang Wu Qing Xiao Le Yang Xihan Mu Yanchen Bo Yonghua Qu Hongmin Zhou Shuai Gao Linna Chai Huaguo Huang Wenjie Fan Shihua Li Junhua Bai Lingmei Jiang Ji Zhou Lixiang Li

The Complicate Observations and Multi-Parameter Land Information Constructions on Allied Telemetry Experiment (COMPLICATE) comprises a network of remote sensing experiments designed to enhance the dynamic analysis and modeling of remotely sensed information for complex land surfaces. Two types of experimental campaigns were established under the framework of COMPLICATE. The first was designed f...

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