4.7 Article

Time Series of Land Cover Mappings Can Allow the Evaluation of Grassland Protection Actions Estimated by Sustainable Development Goal 15.1.2 Indicator: The Case of Murgia Alta Protected Area

Related references

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

Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination

Cristina Tarantino et al.

Summary: This study aimed to discriminate four semi-arid grassland habitats in a Mediterranean Natura 2000 site in Southern Italy, using a two-stage workflow and Support Vector Machine classifier with time-series analysis of Sentinel-2 images. Results showed that the phenology information from time-series can improve the discrimination of grassland habitats, although a Majority Vote algorithm was applied to reduce classification uncertainty due to no single effective configuration for all four habitats.

REMOTE SENSING (2021)

Article Environmental Sciences

Mapping Grasslands in Mixed Grassland Ecoregion of Saskatchewan Using Big Remote Sensing Data and Machine Learning

Nasem Badreldin et al.

Summary: This study utilized the latest monitoring technology and big data to assess the remaining grasslands in Saskatchewan's mixed grassland ecoregion, achieving accurate classification of native, mixed, and tame grasslands. The research established a novel analytical framework for reliable grassland mapping and provided valuable information for decision-makers in Saskatchewan and North America.

REMOTE SENSING (2021)

Article Computer Science, Information Systems

Using Standardized Time Series Land Cover Maps to Monitor the SDG Indicator Mountain Green Cover Index and Assess Its Sensitivity to Vegetation Dynamics

Lorenzo De Simone et al.

Summary: SDG indicators are crucial for monitoring countries' progress towards sustainability goals, with Earth observation data playing a key role in this process. The Food and Agriculture Organization (FAO) has invested in EO data and introduced a new data collection approach to improve the objectivity and accuracy of SDG indicators.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2021)

Article Environmental Sciences

Prediction of plant diversity in grasslands using Sentinel-1 and-2 satellite image time series

Mathieu Fauvel et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Editorial Material Environmental Sciences

Towards delivering on the sustainable development goals using earth observations

Argyro Kavvada et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Article Environmental Sciences

The Temporal Dynamics of Slums Employing a CNN-Based Change Detection Approach

Ruoyun Liu et al.

REMOTE SENSING (2019)

Article Computer Science, Information Systems

Measuring SDG 15 at the County Scale: Localization and Practice of SDGs Indicators Based on Geospatial Information

Shaoyang Liu et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)

Article Geography, Physical

Ailanthus altissima mapping from multi-temporal very high resolution satellite images

Cristina Tarantino et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)

Review Remote Sensing

Implementation of machine-learning classification in remote sensing: an applied review

Aaron E. Maxwell et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)

Article Biodiversity Conservation

Habitat mapping of coastal wetlands using expert knowledge and Earth observation data

Maria Adamo et al.

JOURNAL OF APPLIED ECOLOGY (2016)

Review Environmental Sciences

Good practices for estimating area and assessing accuracy of land change

Pontus Olofsson et al.

REMOTE SENSING OF ENVIRONMENT (2014)

Review Environmental Sciences

Global Land Cover Mapping: A Review and Uncertainty Analysis

Russell G. Congalton et al.

REMOTE SENSING (2014)

Review Biodiversity Conservation

Effectiveness of terrestrial protected areas in reducing habitat loss and population declines

Jonas Geldmann et al.

BIOLOGICAL CONSERVATION (2013)

Review Geography, Physical

Support vector machines in remote sensing: A review

Giorgos Mountrakis et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)

Article Ecology

The Pan European Ecological Network: PEEN

Rob H. G. Jongman et al.

LANDSCAPE ECOLOGY (2011)

Review Geography, Physical

Parameterizing Support Vector Machines for Land Cover Classification

Xiaojun Yang

PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2011)

Article Geochemistry & Geophysics

A relative evaluation of multiclass image classification by support vector machines

GM Foody et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2004)

Article Plant Sciences

Land-use history and fragmentation of traditionally managed grasslands in Scandinavia

O Eriksson et al.

JOURNAL OF VEGETATION SCIENCE (2002)

Article Remote Sensing

An assessment of support vector machines for land cover classification

C Huang et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2002)