A comprehensive analysis of terrestrial surface features using remote sensing data

The coastal zone is the bridge between the ocean and the mainland, the junction of the two ecosystems, the focus of the economic development of coastal cities and the gathering place of ports. Remote sensing technology uses the detector to receive the electromagnetic wave from the target object. After processing the information, it can distinguish the attributes of the target object. It is widely used in marine development, aerospace understanding, resource exploration and other fields.In this paper, the coastal zone of Shangyu Economic Development Zone on the south coast of Hangzhou Bay is taken as the research area. Using multi-source remote sensing data, information extraction, change monitoring and analysis are carried out from the perspective of marine and land ecosystems, and the impact of coastal development on the coastal zone is discussed. The main conclusions are as follows: (a) Using visual interpretation method, it is found that the coastline of the study area changes obviously, and the decrease trend is below the total coastline length; Fractal dimension index is used to characterize the natural condition of coastline. The total coastline length, natural coastline and artificial coastline all increase, which means that the amount of beach sediment deposition and the degree of artificial intervention have increased in this stage. (b) The object-oriented method is used to extract the land use classification of the coastal zone in the study area. Cultivated land is the main land type in the study area, and the impervious surface is the fastest growing. The degree of artificial development of the whole study area is gradually increasing, and the coastal beach area is greatly reduced, and the impervious surface area is greatly increased. Wetland and impervious surface are the two most dramatic changes in the study period. Wetland is mainly transformed into other surface features, while impervious surface is mainly transformed into other surface features.

Download Full-text

The Integrated Nowcasting through Comprehensive Analysis (INCA) System and Its Validation over the Eastern Alpine Region

Weather and Forecasting ◽

10.1175/2010waf2222451.1 ◽

2011 ◽

Vol 26 (2) ◽

pp. 166-183 ◽

Cited By ~ 137

Author(s):

T. Haiden ◽

A. Kann ◽

C. Wittmann ◽

G. Pistotnik ◽

B. Bica ◽

...

Keyword(s):

Remote Sensing ◽

Global Radiation ◽

Precipitation Amount ◽

Remote Sensing Data ◽

Comprehensive Analysis ◽

Added Value ◽

Limited Area ◽

Mountainous Terrain ◽

Sensing Data ◽

Station Data

Abstract This paper presents the Integrated Nowcasting through Comprehensive Analysis (INCA) system, which has been developed for use in mountainous terrain. Analysis and nowcasting fields include temperature, humidity, wind, precipitation amount, precipitation type, cloudiness, and global radiation. The analysis part of the system combines surface station data with remote sensing data in such a way that the observations at the station locations are reproduced, whereas the remote sensing data provide the spatial structure for the interpolation. The nowcasting part employs classical correlation-based motion vectors derived from previous consecutive analyses. In the case of precipitation the nowcast includes an intensity-dependent elevation effect. After 2–6 h of forecast time the nowcast is merged into an NWP forecast provided by a limited-area model, using a predefined temporal weighting function. Cross validation of the analysis and verification of the nowcast are performed. Analysis quality is high for temperature, but comparatively low for wind and precipitation, because of the limited representativeness of station data in mountainous terrain, which can be only partially compensated by the analysis algorithm. Significant added value of the system compared to the NWP forecast is found in the first few hours of the nowcast. At longer lead times the effects of the latest observations becomes small, but in the case of temperature the downscaling of the NWP forecast within the INCA system continues to provide some improvement compared to the direct NWP output.

Download Full-text

Depth Faults Along The Regmatic Network Of The Chatkalo-Kuramin Region And Their Relationship With Seismicity

The American Journal of Applied Sciences ◽

10.37547/tajas/volume02issue12-11 ◽

2020 ◽

Vol 02 (12) ◽

pp. 68-76

Author(s):

Madinabonu Zaxritdinovna Fazliddinova ◽

◽

Akram Bayramovich Goipov ◽

Maftuna Asad qizi Saidova ◽

◽

...

Keyword(s):

Remote Sensing ◽

Satellite Images ◽

Remote Sensing Data ◽

Comprehensive Analysis ◽

Landsat 8 ◽

Strong Earthquakes ◽

Sensing Data ◽

Aster Gdem ◽

Digital Elevation ◽

Lineament Analysis

Lineaments were identified using LANDSAT-8 satellite images and digital elevation models obtained from the ASTER GDEM satellite over the Chatkal-Kuramin region. Taking into account the stock materials and a comprehensive analysis of the results of processing remote sensing data, a map of lineaments of a 1: 100,000 regmatic network was compiled. Based on the automated visual lineament analysis in the Geomatica PCI program, lineaments of the regmatic network were obtained, which are located in the focal zones of strong earthquakes.

Download Full-text