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A physical decision method was proposed here to monitor Larch forest insect pests at early stage. Three remote sensing indicators were defined, which are CWC (canopy water content), TVDI (Temperature/Vegetation Dryness Index) and LAI (Leaf Area Index). The Five-scale model and artificial neural network (ANN) were combined to inverse the three factors from Landsat data. Based on training samples of...
The paper introduces quantitative earthquake damage estimation method based on remote sensing data. The quantitative remote sensing seismic damage index based on building damage extracted from the aerial image of Dujiangyan city proper, southwest China's Sichuan province, which acquired after 2008 Ms=8.0 Wenchuan earthquake. The actual seismic damage indices were determined by the ground-based investigation...
In this paper, we first introduce data collection and data conversion methods in N-MT electromagnetic observation system, so that they can be easier written into the oracle precursor database. Second, we research application methods of these data in earthquake prediction, and compute the second value of the N-MT electromagnetic field observation system and FHDZ-M15 geomagnetic field integrative observation...
Urbanization, the conversion of other types of land to uses associated with growth of populations and economy, is a main type of land use and land cover change in human history. In recent 30 years, urban growth has been speeded up, and extreme stress to the environment has occurred in China. Based on the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) stable nighttime...
A method of two-threshold expectation maximum and Markov random field is presented to automatic detection of terrain surface changes after the Wenchuan earthquake, on May 12, 2008, using multitemporal ALOS PALSAR images. As an example in the Beichuan area, three kinds of terrain surface changes, i.e., scattering enhanced, reduced, and no-changed, are automatically detected and classified. By using...
Crops and spatial distribution of their planting area are two important factors for agricultural water management. Remote sensing has been proved an effective technique in agricultural monitoring. Crop recognition and sown area monitoring are important topics in agricultural remote sensing using data sources from variety of sensors. This paper made efforts in extracting winter wheat and its sown area...
Adopting the decision tree technology, utilizing its process pattern that imitates human judgment and thinking and fault-tolerance features, the authors developed a decision tree classification method. Initially utilizing SPOT and TM, the work effectively enhanced LULC information and established the synthetic database; then, combining geoscience synthetic analysis with ground spectral feature information,...
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