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Integrating the Sustainable Development Goals (SDGs) into climate actions is essential for a healthy planet and people. Yet, national climate policies and international climate support programs often fail to explicitly recognize the interconnections between climate concerns and other priorities covered under the SDGs. This failure can leave key...

Detailed Land-Use and Land-Cover (LULC) information is of pivotal importance in, e.g., urban/rural planning, disaster management, and climate change adaptation. Recently, Deep Learning (DL) has emerged as a paradigm shift for LULC classification. To date, little research has focused on using DL methods for LULC mapping in semi-arid regions, and...

Illumination variations in non-atmospherically corrected high-resolution satellite (HRS) images acquired at different dates/times/locations pose a major challenge for large-area environmental mapping and monitoring. This problem is exacerbated in cases where a classification model is trained only on one image (and often limited training data) but...

Lichen is an important food source for caribou in Canada. Lichen mapping using remote sensing (RS) images could be a challenging task, however, as lichens generally appear in unevenly distributed, small patches, and could resemble surficial features. Moreover, collecting lichen labeled data (reference data) is expensive, which restricts the...

IGES Joint Crediting Mechanism (JCM) Database provides detailed information on the JCM methodologies, projects, and JCM feasibility studies to be utilized for research and development of JCM project. The JCM is being implemented under bilateral cooperation between Japan and 29 partner countries: Mongolia, Bangladesh, Ethiopia, Kenya, Maldives, Viet...

With the advent of high-spatial resolution (HSR) satellite imagery, urban land use/land cover (LULC) mapping has become one of the most popular applications in remote sensing. Due to the importance of context information (e.g., size/shape/texture) for classifying urban LULC features, Geographic Object-Based Image Analysis (GEOBIA) techniques are...

Today, 54% of the world’s population live in urban areas, a proportion that is expected to increase to 66% by 2050. Major cities and municipalities in the region rely either fully or partially on groundwater. Four highly relevant Asian cities (Bangkok, Bandung, Ho Chi Minh and Lahore) were selected which bear groundwater dependency in the range of...

Remarks: * Online publication only

Remarks: * Online publication only

Remarks: * Online publication only