Vol. 6 No. 1 (2017)

Open Access

Articles

Article ID: 291

Development and application of settlement Index of Forest pests and Diseases for Large Areas through Using modis-ndvi Data

by fuyang Sun fuyang Sun

Remote Sensing, Vol.6, No.1, 2024; 153 Views, 2 PDF Downloads

settlement to forest pests and diseases to Large areas is one of Most pressing challenges For the " Development of Forest insurance. This Study , taking , forestareas of of East Inner Mongolia, developed A settlement index to forest pests and diseases at the County scale to Large areas, based on MODIS - NDVI Data , Field surveydata , Successfully applied It to East Inner Mongolia to The year of 2016. The results Show [] This Proposed settlement Index has the Advantage in being simple in Calculation, wide coverage and ? - space continuity, Could monitor The serious Damage , even , moderate Damage for Conifer For est effectively. therefore , The settlement Index of Forest pests and diseases could provide Reference and support for forest Insurance .

Open Access

Articles

Article ID: 270

Application of unmanned aerial vehicle (UAV) remote sensing technology in mine geological

by liang Zhang liang Zhang

Remote Sensing, Vol.6, No.1, 2024; 176 Views, 5 PDF Downloads

This paper introduces the composition and working process of the UAV remote Sensing system, analyzes the feasibility Advantages of application of the UAV remote sensing techniques, the UAV Remote Sensing system geological environmental re Mediation project in the high resolution image and high precision data acquisition and image processing methods, summarize s the current existence of the UAVs Remote Sensing Technology application in the project of mine geological environmental remed Iation problems and directions of data postprocessing technology is prospected.

Open Access

Articles

Article ID: 312

GF-1 Image Quality Evaluation and applications potential for

by Ming Chen, Wei Zhou, Yuan Tao

Remote Sensing, Vol.6, No.1, 2018; 220 Views, 2 PDF Downloads

To objectively evaluate the image quality of GF-1 and its potential for application of the mining Classification, the Pingshuo mining area in Loess Plateau is selected as the study area. Compared with the same temporal images of SPOT 6, the images of GF-1 were. The evaluation index from two aspects such as gray level feature and texture feature are to conduct the project Quality. Statistical results show that GF-4 images contain amount of gray information and rich feature types; which can describe the details of the surface information. To analysis the application potential of GF-4 image, the process of land cover classification is worked out by means of M Aximum Likelihood method Classification pixels-dased and nearest neighbor method classification object-oriented Vely. The comparing the classification results testified that GF-1 image ' s overall classification-effect was inferior to SPOT 6 Image, but the GF-1 image is still able to quickly and efficiently obtain the information depleted land and mined Surrounding, and could provided the base data for mine ecological restoration and vegetation.