Using that background, we describe four general steps in natural resource remote sensing projects: image and reference data acquisition, pre-processing, analysis, and evaluation.
Indeed, examples of remote sensing projects with volunteer participation can be found, for example in land cover monitoring (http://geo-wiki.org (Fritz et al. [2009]), http://forestwatchers.net) or biomass estimates (Fritz et al. [2013]), but are still an exception.
According to a remote sensing analysis project, 60% of western China is affected by soil erosion (Fig. 3).
In order to contribute to area-wide traffic monitoring by remote sensing, several projects, based on airborne optical and SAR sensors as well as SAR satellite sensors are currently running at DLR or have already been concluded.
The generation of the input variables was based on an extensive use of geographic information system and remote sensing technologies, since the project was intended to provide a spatial and temporal assessment of risk conditions.
The remote sensing concept of the project is based on precise orbital measurements of the intensity and polarization of sunlight scattered by the atmosphere and the surface with a scanning polarimeter accompanied by a wide-angle multispectral imager polarimeter.
Data and study have been supported by the project REMBIOFOR (Remote sensing based assessment of woody biomass and carbon storage in forests), supported by The National Centre for Research and Development under BIOSTRATEG program, agreement no.
From 2007 to 2009, China implemented the Second National Land Survey project using remote sensing, GIS, and GPS technologies and field surveys, in order to determine the land use status over the whole country and to obtain basic data.
The remote sensing products used in this project were generated via research undertaken as part of the "National Terrestrial Ecosystem Monitoring System (NTEMS): Timely and detailed national cross-sector monitoring for Canada" project jointly funded by the Canadian Space Agency CSA Government Related Initiatives Programam (GRIP) and the Canadian Forest Service CFSS) of Natural Resources Canada.
Various groundwater exploration and management projects incorporated both synthetic aperture radar (SAR) imagery and optical remote sensing imagery simultaneously in a single project (Chen et al. 1999).
