Detection and Volume Estimation of Large-Scale Landslides Based on Elevation-Change Analysis Using DEMs Extracted From High-Resolution Satellite Stereo Imagery

There is an increasing demand for robust methods on urban sprawl monitoring. The steadily increasing number of high resolution and multi-view sensors allows producing datasets with high temporal and spatial resolution; however, less effort has been dedicated to employ very high resolution (VHR) satellite image time series (SITS) to monitor the changes in buildings with higher accuracy. In addition, these VHR data are often acquired from different sensors. The objective of this research is to propose a robust time-series data analysis method for VHR stereo imagery. Firstly, the spatial-temporal information of the stereo imagery and the Digital Surface Models (DSMs) generated from them are combined, and building probability maps (BPM) are calculated for all acquisition dates. In the second step, an object-based change analysis is performed based on the derivative features of the BPM sets. The change consistence between object-level and pixel-level are checked to remove any outlier pixels. Results are assessed on six pairs of VHR satellite images acquired within a time span of 7 years. The evaluation results have proved the efficiency of the proposed method.

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China's coastal-wetland change analysis based on high-resolution remote sensing

Marine and Freshwater Research ◽

10.1071/mf19062 ◽

2020 ◽

Vol 71 (9) ◽

pp. 1161

Author(s):

Yin Gao ◽

Lijuan Cui ◽

Jianjun Liu ◽

Wei Li ◽

Yinru Lei

Keyword(s):

High Resolution ◽

Salt Marshes ◽

Coastal Wetlands ◽

Large Scale ◽

Coastal Wetland ◽

Complex Structure ◽

Hangzhou Bay ◽

Bohai Bay ◽

Change Analysis ◽

High Productivity

Coastal wetlands not only have abundant biodiversity and high productivity, but they also play an irreplaceable and important role in regional ecosystems. Because of the complex structure and dynamic characteristics of coastal wetlands, it is difficult to observe the spatial changes of coastal wetlands on a large scale and improve data reliability. In this study, a spatially constrained manual-interpretation method based on nationwide high-resolution images in 2017 was adopted to extract China’s coastal wetland distribution, and, then, the second national wetland-survey data from 2011 were used as a baseline for change analysis. The results showed that under the influence of natural conditions and human activities, China’s coastal wetlands have decreased in distribution in the past 6 years. The situation of coastal wetland reclamation is critical, and the hotspot regions are mainly distributed in Bohai Bay, middle of Jiangsu province and Hangzhou Bay. Farming reclamation is another factor that occupies coastal wetlands in China, and main occupied wetlands are mudflats, shallow sea, tidal flats, intertidal salt marshes and estuarine waters. Tide is the main factor affecting extraction of wetlands, the spatially constrained method had a positive effect on wetland detection, and has potential to improve automatic algorithms of complex coastal wetlands.

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BUILDING CHANGE DETECTION IN VERY HIGH RESOLUTION SATELLITE STEREO IMAGE TIME SERIES

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-iii-7-149-2016 ◽

2016 ◽

Vol III-7 ◽

pp. 149-155

Author(s):

J. Tian ◽

R. Qin ◽

D. Cerra ◽

P. Reinartz

Keyword(s):

Time Series ◽

High Resolution ◽

Time Series Data ◽

Satellite Image ◽

Stereo Image ◽

Series Data ◽

Change Analysis ◽

Stereo Imagery ◽

Increasing Demand ◽

Very High

There is an increasing demand for robust methods on urban sprawl monitoring. The steadily increasing number of high resolution and multi-view sensors allows producing datasets with high temporal and spatial resolution; however, less effort has been dedicated to employ very high resolution (VHR) satellite image time series (SITS) to monitor the changes in buildings with higher accuracy. In addition, these VHR data are often acquired from different sensors. The objective of this research is to propose a robust time-series data analysis method for VHR stereo imagery. Firstly, the spatial-temporal information of the stereo imagery and the Digital Surface Models (DSMs) generated from them are combined, and building probability maps (BPM) are calculated for all acquisition dates. In the second step, an object-based change analysis is performed based on the derivative features of the BPM sets. The change consistence between object-level and pixel-level are checked to remove any outlier pixels. Results are assessed on six pairs of VHR satellite images acquired within a time span of 7 years. The evaluation results have proved the efficiency of the proposed method.

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A New Large-Scale, High-Resolution Multicolor Software Display Concept

10.21236/ada155404 ◽

1985 ◽

Author(s):

Joseph G. Logan

Keyword(s):

High Resolution ◽

Large Scale

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Turbulence Fine Structure, Intermittency, and Large-Scale Interactions in the Stable Boundary Layer and Residual Layer: Correlative High-Resolution Measurements and Direct Numerical Simulations

10.21236/ada627247 ◽

2014 ◽

Author(s):

David C. Fritts ◽

Ben B. Balsley ◽

Dale A. Lawrence

Keyword(s):

Boundary Layer ◽

Fine Structure ◽

High Resolution ◽

Numerical Simulations ◽

Stable Boundary Layer ◽

Large Scale ◽

Direct Numerical Simulations ◽

Residual Layer ◽

Stable Boundary ◽

Scale Interactions

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MODELING THE SOUTH ATLANTIC OCEAN FROM MEDIUM TO HIGH RESOLUTION

Brazilian Journal of Geophysics ◽

10.22564/rbgf.v31i2.27 ◽

2014 ◽

Vol 31 (2) ◽

Author(s):

Mariela Gabioux ◽

Vladimir Santos da Costa ◽

Joao Marcos Azevedo Correia de Souza ◽

Bruna Faria de Oliveira ◽

Afonso De Moraes Paiva

Keyword(s):

High Resolution ◽

Atlantic Ocean ◽

Large Scale ◽

South Atlantic ◽

Surface Relaxation ◽

The South ◽

Small Surface ◽

Basic Model ◽

Basic Set ◽

Set Up

Results of the basic model configuration of the REMO project, a Brazilian approach towards operational oceanography, are discussed. This configuration consists basically of a high-resolution eddy-resolving, 1/12 degree model for the Metarea V, nested in a medium-resolution eddy-permitting, 1/4 degree model of the Atlantic Ocean. These simulations performed with HYCOM model, aim for: a) creating a basic set-up for implementation of assimilation techniques leading to ocean prediction; b) the development of hydrodynamics bases for environmental studies; c) providing boundary conditions for regional domains with increased resolution. The 1/4 degree simulation was able to simulate realistic equatorial and south Atlantic large scale circulation, both the wind-driven and the thermohaline components. The high resolution simulation was able to generate mesoscale and represent well the variability pattern within the Metarea V domain. The BC mean transport values were well represented in the southwestern region (between Vitória-Trinidade sea mount and 29S), in contrast to higher latitudes (higher than 30S) where it was slightly underestimated. Important issues for the simulation of the South Atlantic with high resolution are discussed, like the ideal place for boundaries, improvements in the bathymetric representation and the control of bias SST, by the introducing of a small surface relaxation. In order to make a preliminary assessment of the model behavior when submitted to data assimilation, the Cooper & Haines (1996) method was used to extrapolate SSH anomalies fields to deeper layers every 7 days, with encouraging results.

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