Assessing Sustainability over Space and Time: The Emerging Roles of GIScience and Remote Sensing
Sustainability is a critical global challenge that requires comprehensive assessments of environmental, social, and economic indicators. The formulation of the 17 Sustainable Development Goals (SDGs) represents a significant leap forward in humanity's pursuit of sustainability. The SDGs now ser...
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| Format: | Electronic Book Chapter |
| Language: | English |
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Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| 245 | 1 | 0 | |a Assessing Sustainability over Space and Time: The Emerging Roles of GIScience and Remote Sensing |
| 260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
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| 520 | |a Sustainability is a critical global challenge that requires comprehensive assessments of environmental, social, and economic indicators. The formulation of the 17 Sustainable Development Goals (SDGs) represents a significant leap forward in humanity's pursuit of sustainability. The SDGs now serve as a shared platform for global development, guiding current actions towards and shaping visions of a sustainable future. Monitoring progress towards the SDGs and sustainability in general is essential. This is true not only at the global and national scales, but also at the subnational and landscape levels. Geographic information science (GIScience) and remote sensing (RS) have made significant advances in these areas. These breakthroughs include the increasing availability of geospatial data, a development which plays a crucial role in this regard. This Special Issue aimed to bring together novel contributions on the assessment of sustainability and sustainability-related indicators over space and time using geospatial data, tools, and techniques (GIScience and RS). This publication contains 11 peer-reviewed papers, including two review articles and nine research articles. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Research & information: general |2 bicssc | |
| 650 | 7 | |a Geography |2 bicssc | |
| 653 | |a sustainable development | ||
| 653 | |a Earth observation | ||
| 653 | |a SDG indicators | ||
| 653 | |a EO4SDG | ||
| 653 | |a SDG global indicator framework | ||
| 653 | |a global SDG indicators database | ||
| 653 | |a social-ecological indicators | ||
| 653 | |a Urban Surface Ecological Status (USES) | ||
| 653 | |a Remotely Sensed Surface Ecological Index (RSUSEI) | ||
| 653 | |a sustainability | ||
| 653 | |a impervious surfaces | ||
| 653 | |a US cities | ||
| 653 | |a National Land Cover Database (NLCD) | ||
| 653 | |a wetland | ||
| 653 | |a muthurajawela marsh and negombo lagoon | ||
| 653 | |a socio-ecological | ||
| 653 | |a spatio-temporal analysis | ||
| 653 | |a urban ecology | ||
| 653 | |a remote sensing | ||
| 653 | |a conflict resources monitoring | ||
| 653 | |a disease control and prevention | ||
| 653 | |a human rights | ||
| 653 | |a genocide tracking | ||
| 653 | |a human rights violation | ||
| 653 | |a geopolitics | ||
| 653 | |a population mapping | ||
| 653 | |a Landsat | ||
| 653 | |a deep learning | ||
| 653 | |a multi-temporal | ||
| 653 | |a ResNet-N | ||
| 653 | |a Google Earth Engine | ||
| 653 | |a China | ||
| 653 | |a SDGs | ||
| 653 | |a remote sensing ecological index | ||
| 653 | |a ecological protection | ||
| 653 | |a principal component analysis | ||
| 653 | |a entropy value method | ||
| 653 | |a spatial autocorrelation | ||
| 653 | |a Wuhan city | ||
| 653 | |a M-RSEQI | ||
| 653 | |a DMSP | ||
| 653 | |a entropy method | ||
| 653 | |a coupling coordination degree model | ||
| 653 | |a remote sensing data | ||
| 653 | |a urbanization | ||
| 653 | |a sustainable development path | ||
| 653 | |a life service resources | ||
| 653 | |a spatial justice | ||
| 653 | |a GIScience | ||
| 653 | |a Beijing | ||
| 653 | |a SDG11 | ||
| 653 | |a geospatial big data | ||
| 653 | |a sustainable development goals | ||
| 653 | |a earth observation | ||
| 653 | |a Guilin | ||
| 653 | |a intra-urban heat island | ||
| 653 | |a space-time | ||
| 653 | |a GIS | ||
| 653 | |a land use and land cover change | ||
| 653 | |a shifting cultivation | ||
| 653 | |a tropical forest gain and loss | ||
| 653 | |a topographic factors | ||
| 653 | |a distance to roads | ||
| 653 | |a logistic regression | ||
| 653 | |a n/a | ||
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| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/128813 |7 0 |z DOAB: description of the publication |