4.7 Article

Parcel-Level Flood and Drought Detection for Insurance Using Sentinel-2A, Sentinel-1 SAR GRD and Mobile Images

Related references

Note: Only part of the references are listed.
Article Environmental Studies

NDVI Threshold-Based Urban Green Space Mapping from Sentinel-2A at the Local Governmental Area (LGA) Level of Victoria, Australia

Jagannath Aryal et al.

Summary: This study developed a method to classify urban green space in Victorian Local Government Areas (LGAs) using advanced remote sensing technology and the Normalized Difference Vegetation Index (NDVI) threshold. By mapping urban vegetation hierarchically, it not only provided vegetation classification, but also developed Urban Green Space Index and Per Capita Green Space, providing useful insights for multiple stakeholders.
Review Environmental Sciences

Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis

Bipul Neupane et al.

Summary: This paper reviews and analyzes the current status of deep learning-based semantic segmentation in urban remote sensing images, comparing recent papers in terms of research problems and performance. The study shows that deep learning outperforms traditional methods in terms of accuracy and challenges addressed, providing future research directions in this domain.

REMOTE SENSING (2021)

Article Environmental Sciences

Continuous Monitoring of the Flooding Dynamics in the Albufera Wetland (Spain) by Landsat-8 and Sentinel-2 Datasets

Carmela Cavallo et al.

Summary: Satellite data, specifically Landsat-8 and Sentinel-2 datasets, were used in this study to monitor the winter evolution of land cover in the Albufera wetland in Spain. The automatic classification of land cover into four classes was achieved through a rule-based method using NDWI, MNDWI, and NDVI indices, with a high overall accuracy of 0.96 and 0.98 for Landsat-8 and Sentinel-2, respectively. The study demonstrated the feasibility of using moderate-resolution multispectral images for monitoring land cover changes in wetland environments.

REMOTE SENSING (2021)

Article Environmental Sciences

Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region

Heikki Astola et al.

REMOTE SENSING OF ENVIRONMENT (2019)

Article Computer Science, Information Systems

Moving Object Detection Method via ResNet-18 With Encoder-Decoder Structure in Complex Scenes

Xianfeng Ou et al.

IEEE ACCESS (2019)

Article Computer Science, Artificial Intelligence

Places: A 10 Million Image Database for Scene Recognition

Bolei Zhou et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)

Article Environmental Sciences

Google Earth Engine: Planetary-scale geospatial analysis for everyone

Noel Gorelick et al.

REMOTE SENSING OF ENVIRONMENT (2017)

Article Environmental Sciences

Copernicus Sentinel-2A Calibration and Products Validation Status

Ferran Gascon et al.

REMOTE SENSING (2017)

Review Geography, Physical

Random forest in remote sensing: A review of applications and future directions

Mariana Belgiu et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)

Article Environmental Sciences

Mapping flooding regimes in Camargue wetlands using seasonal multispectral data

Aurelie Davranche et al.

REMOTE SENSING OF ENVIRONMENT (2013)

Article Environmental Sciences

Object-based cloud and cloud shadow detection in Landsat imagery

Zhe Zhu et al.

REMOTE SENSING OF ENVIRONMENT (2012)

Review Computer Science, Artificial Intelligence

Classification and regression trees

Wei-Yin Loh

WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (2011)

Article Biotechnology & Applied Microbiology

What is a support vector machine?

William S. Noble

NATURE BIOTECHNOLOGY (2006)

Review Ecology

Using the satellite-derived NDVI to assess ecological responses to environmental change

N Pettorelli et al.

TRENDS IN ECOLOGY & EVOLUTION (2005)

Article Environmental Sciences

Overview of the radiometric and biophysical performance of the MODIS vegetation indices

A Huete et al.

REMOTE SENSING OF ENVIRONMENT (2002)