Article
Economics
Makoto Ehara, Hideki Saito, Tetsuya Michinaka, Yasumasa Hirata, Chivin Leng, Mitsuo Matsumoto, Carlos Riano
Summary: This study proposed decision support tools to allocate Cambodia's REDD+ national baseline to local projects based on forest cover, forest carbon stocks, and historical deforestation trends. Four allocation methods were compared, with the 'change' method being deemed more suitable for allocating baseline to local projects due to its alignment with the United Nations Framework Convention on Climate Change.
FOREST POLICY AND ECONOMICS
(2021)
Article
Economics
Preeya S. Mohan
Summary: The objective of this paper is to explore the potential of REDD+ to support Caribbean SIDS in achieving their NDCs. The results show that while Caribbean countries are interested in adopting REDD+ targets, it is not a high priority for them and only four countries have adopted it. REDD+ systems and mechanisms are hardly considered in Caribbean SIDS NDCs, except for the four countries that have already adopted REDD+.
FOREST POLICY AND ECONOMICS
(2022)
Article
Geography
Tim Frewer
Summary: This article examines the material relations of production of a REDD+ project in Cambodia, arguing that VCUs are packages of technical and affective claims created through material labour processes. It discusses the project document writing, verification process, and emphasizes the importance of understanding demand for VCUs through the use-values created in labor processes.
POLITICAL GEOGRAPHY
(2021)
Article
Economics
Josiane Gakou-Kakeu, Monica Di Gregorio, Jouni Paavola, Denis Jean Sonwa
Summary: There is evidence that the institutions related to climate change and natural resources influence each other's performance, and that local settings also affect policy outcomes. Our study examines how policy implementation processes and institutional interactions shape the REDD+ programme in Cameroon. We find that projects in the South showcase political implementation, while those in the West are more experimental. The outcomes of the projects are influenced by rules regarding community forests, reforestation, and timber processing.
FOREST POLICY AND ECONOMICS
(2022)
Review
Ecology
Eun-Kyung Jang, Dongheon Kwak, Gayoung Choi, Jooyeon Moon
Summary: This study investigates the current status of REDD+ projects, focusing on technology convergence and finance blending. The findings reveal that projects utilizing technology for forest disaster management receive major support from the CTCN and GCF. The agricultural sector demonstrates the highest degree of technology convergence. The study highlights the potential of technology convergence in enhancing the feasibility of scaling up REDD+ projects by promoting stakeholder engagement and catalyzing private capital influx.
FRONTIERS IN FORESTS AND GLOBAL CHANGE
(2023)
Article
Environmental Sciences
Augustin Lamulamu, Pierre Ploton, Luca Birigazzi, Liang Xu, Sassan Saatchi, Jean-Paul Kibambe Lubamba
Summary: This study independently assessed the national spaceborne carbon stocks map of the Democratic Republic of Congo using national forest inventory data. The results showed that the map predictions were nearly unbiased and captured a significant portion of the forest aboveground biomass variation. However, the map performance varied across different land cover types.
Article
Geography
Nicodemus Nyamari, Pedro Cabral
Summary: Estimating and analyzing carbon stock changes in Kenya due to land cover change, this study shows a 16% decline in carbon stock under the BAU scenario. Implementing the REDD+ scenario could potentially reverse this trend and lead to an increase in carbon stock.
Article
Ecology
Jewel Andoh, Kwame Antwi Oduro, Joowon Park, Yohan Lee
Summary: This study provides an assessment of the main drivers of deforestation and forest degradation in REDD+ participant countries, as well as the funds disbursed to these countries. Agriculture expansion is found to be the main driver of deforestation, while logging is the main driver of forest degradation. Most countries have received relatively small amounts of funding for their readiness-related activities. International donors need to focus on strengthening institutional capacities and provide platforms for cooperation to address the main drivers of deforestation and forest degradation.
FRONTIERS IN FORESTS AND GLOBAL CHANGE
(2022)
Article
Environmental Sciences
Gabrielle Kissinger, Maria Brockhaus, Simon R. Bush
Summary: The study highlights the challenges in integrating policy responses to achieve emissions reduction goals in Vietnam, such as conflicting sector goals, disconnects between global and local ambitions, and imbalanced power dynamics among actors involved.
ENVIRONMENTAL SCIENCE & POLICY
(2021)
Article
Environmental Sciences
Mohammad Redowan, Stuart Phinn, Chris Roelfsema, Ammar Abdul Aziz
Summary: This study aimed to comprehensively assess the biomass-carbon emissions due to deforestation and forest degradation in Raghunandan Hills Reserved Forest in Bangladesh using a combination of field and satellite data employing geospatial techniques, in order to meet the carbon credit requirements for the REDD+ program.
JOURNAL OF APPLIED REMOTE SENSING
(2021)
Article
Forestry
D. Alemagi, D. Nukpezah, L. Duguma, K. Fobissie
Summary: REDD+ is a mechanism to promote climate change mitigation by developing countries with forests, involving reducing deforestation and forest degradation, encouraging forest conservation and sustainable management, and enhancing forest carbon. This paper qualitatively analyzes the institutional framework for REDD+ implementation in Cameroon. It profiles the roles of various institutions, conducts a literature review, and presents the results of a SWOT analysis based on interviews with REDD+ actors. The findings are expected to be used by policymakers to promote REDD+ initiatives in Cameroon.
INTERNATIONAL FORESTRY REVIEW
(2023)
Article
Engineering, Multidisciplinary
Guisheng Wang, Nan Wang, Weiling Guo
Summary: This study utilized high-resolution remote sensing data and vegetation indexes to establish forest aboveground biomass (AGB) models. The results showed that the multivariable linear regression model performed the best, and combining optical and microwave remote sensing images can improve AGB estimation accuracy, especially in ecological rehabilitation areas.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Multidisciplinary Sciences
C. Pamela Orta-Ponce, Tamara Rodriguez-Ramos, Mar Nieto-Cid, Eva Teira, Elisa Guerrero-Feijoo, Antonio Bode, Marta M. Varela
Summary: The study revealed depth-stratification in leucine-to-carbon conversion factors (CFs) in the ocean, showing significant differences from epipelagic to bathypelagic waters, correlated with hydrographic variables, specific phylogenetic groups, and DOM quality and quantity indices. Attempting to predict CFs using relatively simple hydrographic and optical spectroscopic measurements was also explored in the study.
SCIENTIFIC REPORTS
(2021)
Article
Forestry
F. E. Arnold, M. Piazza, K. Z. Wynn, P. Htut, S. S. Tun
Summary: Myanmar has the second largest area of mangrove forests in Southeast Asia, but it is facing high deforestation rates and forest degradation. Existing studies on mangrove forests have varying monitoring results and insufficient estimates of carbon density. This study provides updated emission factors and georeferenced biomass estimates for mangrove forests in Myanmar, which can be used in national or jurisdictional forest reference levels for REDD+. Additionally, the biomass estimates are useful for calibrating space-based models of biomass estimation.
INTERNATIONAL FORESTRY REVIEW
(2023)
Article
Forestry
Mohammad Qasim, Elmar Csaplovics
Summary: This study aimed to estimate the forest biomass in two forests of Margalla Hills National Park. The findings showed that the Sub-tropical Chir Pine Forest had higher aboveground biomass and carbon compared to the Sub-tropical Broadleaved Evergreen Forest. These results are valuable for designing sustainable management plans, afforestation programs, and accessing nature-based funding such as REDD+ in the future.
FOREST SCIENCE AND TECHNOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Md Masroor, Ram Avtar, Haroon Sajjad, Pandurang Choudhari, Luc Cimusa Kulimushi, Khaled Mohamed Khedher, Akinola Adesuji Komolafe, Ali P. Yunus, Netrananda Sahu
Summary: This study used remote sensing data to analyze the impact of land use/land cover changes on precipitation, temperature, wind speed, and soil moisture in the Aurangabad district of Maharashtra state in India. The findings show rapid urbanization in the study area, with an increase in built-up area and water bodies, and a decrease in agricultural land. Over the years, a decrease in precipitation and wind speed was observed. Soil moisture was found to be positively correlated with agricultural land, while a negative relationship was observed between the built-up area and precipitation. There was also a positive relationship between the built-up area and maximum temperature.
Article
Green & Sustainable Science & Technology
Tonni Agustiono Kurniawan, Xue Liang, Elizabeth O'Callaghan, Huihwang Goh, Mohd Hafiz Dzarfan Othman, Ram Avtar, Tutuk Djoko Kusworo
Summary: In China, environmental pollution caused by the over-generation of municipal solid waste (MSW) is a top concern. The increasing volume of waste poses serious risks to the environment and public health. Digitalization plays a crucial role in driving China's waste sector towards a circular economy.
Article
Environmental Sciences
Raveena Raj, Ali P. Yunus, Padmini Pani, Ram Avtar
Summary: High-resolution multi-temporal digital elevation models (DEM) were used to quantify erosion volume and gully susceptibility mapping in the Chambal badlands, Central India. Machine learning models were used to predict gully erosion susceptibilities and volume for a larger study region, with satisfactory model performance. The model predicted that 40% of the area is highly affected by gully erosion, with the most severe gully development in the north-Central part.
LAND DEGRADATION & DEVELOPMENT
(2022)
Article
Chemistry, Multidisciplinary
Chee Kong Yap, Bin Huan Pang, Wan Hee Cheng, Krishnan Kumar, Ram Avtar, Hideo Okamura, Yoshifumi Horie, Moslem Sharifinia, Mehrzad Keshavarzifard, Meng Chuan Ong, Abolfazl Naji, Mohamad Saupi Ismail, Wen Siang Tan
Summary: The study focused on the toxicity test of cadmium (Cd), copper (Cu), nickel (Ni), lead (Pb) and zinc (Zn) using juvenile and adult apple snail Pomacea insularum as test organisms. The results showed that Cu was the most toxic metal to the snails, and the juveniles were more sensitive than the adults. The study demonstrated that P. insularum can be recommended as a good biomonitor for these metals in freshwater ecosystems.
APPLIED SCIENCES-BASEL
(2023)
Review
Construction & Building Technology
Vishal Mishra, Ram Avtar, A. P. Prathiba, Prabuddh Kumar Mishra, Anuj Tiwari, Surendra Kumar Sharma, Chandra Has Singh, Bankim Chandra Yadav, Kamal Jain
Summary: Uncrewed aerial systems (UASs) are gaining popularity in water resource mapping and management due to their cheaper and quicker option in providing high temporal and spatial resolution data. This paper provides a comprehensive review of UAS in various sub-domains of water resources, discussing the basic concepts, different payloads and sensor technologies, methodologies for application, available software, challenges, and future scope of UAS in water resource mapping and management.
ADVANCES IN CIVIL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Majid Farooq, Fayma Mushtaq, Gowhar Meraj, Suraj Kumar Singh, Shruti Kanga, Ankita Gupta, Pankaj Kumar, Deepak Singh, Ram Avtar
Summary: Rapid urbanization has led to the emergence of slums, degrading the quality of life and burdening urban amenities. Despite the worldwide importance of slum upgrading, there is currently no suitable planning framework for replicability on a considerable scale. This study proposes a method-based approach using Management Information System (MIS) and Geographic Information System (GIS) for upgrading slums and recommends a planning outline based on the Indian government's Rajiv Awas Yojna (RAY) scheme.
Article
Water Resources
Huynh Vuong Thu Minh, Pankaj Kumar, Tran Van Ty, Dinh Van Duy, Tran Gia Han, Kim Lavane, Ram Avtar
Summary: This study evaluates both dry and wet conditions in the Vietnamese Mekong Delta and investigates their impact on agricultural output. The findings highlight the prolonged drought periods in the region and the significant damage to rice and shrimp outputs. These results are important for designing more robust water resource management plans.
Article
Geosciences, Multidisciplinary
Nguyen Hong Duc, Pankaj Kumar, Pham Phuong Lan, Tonni Agustiono Kurniawan, Khaled Mohamed Khedher, Ali Kharrazi, Osamu Saito, Ram Avtar
Summary: This study assesses the spatiotemporal variation in surface water quality through statistical analysis, providing scientific information for sustainable water resource management and achieving the city's sustainable development goals.
Article
Environmental Sciences
Xuan Truong Trinh, Lam Dao Nguyen, Wataru Takeuchi
Summary: Seagrass ecosystems play a crucial role in the carbon cycle, biodiversity, fisheries, and erosion prevention. Mapping seagrass in tropical coastal waters is challenging due to turbidity and changing tidal dynamics. This study used a combination of Sentinel-2 images, tidal heights, and reflectance to improve seagrass classification accuracy, resulting in one of the highest accuracies achieved in turbid waters. The findings contribute to quantifying seagrass distribution and carbon sequestration capacity in tropical coastal waters, addressing uncertainties in blue carbon estimation.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Shuai Shao, Wataru Takeuchi
Summary: The cultivation of Chinese cabbage is essential for daily vegetable supply in East Asian countries. However, changes in climate and land use have affected its productivity, making it necessary to assess its bio-geophysical suitability. This study used GIS-based analytical methods to evaluate the suitability of Chinese cabbage cultivation in East Asia and found that summer is the optimal season for its cultivation.
Article
Construction & Building Technology
Eam Sovisoth, Vikas Singh Kuntal, Prakhar Misra, Wataru Takeuchi, Kohei Nagai
Summary: Inspection data can be used to comprehend and plan effective maintenance of bridges. In particular, the year of initial construction is one of the most important criteria for formulating maintenance plans, making budget allocations, and estimating soundness. In this research, Landsat satellite data is used to estimate the year of construction of bridges in Cambodia. The method involves analyzing NDWI values over time to detect changes in the bridge surface, which can indicate the year of construction.
Article
Environmental Sciences
Sourav Pragya, Manish Kumar, Akash Tiwari, Syed Irtiza Majid, Sourav Bhadwal, Netrananda Sahu, Naresh Kumar Verma, Dinesh Kumar Tripathi, Ram Avtar
Summary: Developing predictive models for forest fire probability is crucial for preventing and managing fires. This study assessed and mapped forest fire susceptibility in the Indian Western Himalayas region using a GIS-based technique. The results showed that tropical moist deciduous forests are highly susceptible to fires, while Lahul and Spiti are the least vulnerable districts. The accuracy of the susceptibility map was evaluated using ROC-AUC analysis, and incorporating the map into sustainable development planning can harmonize environmental conservation, community safety, and economic advancement.
Review
Environmental Sciences
Juan Xiao, Ashwani Kumar Aggarwal, Nguyen Hong Duc, Abhinandan Arya, Uday Kiran Rage, Ram Avtar
Summary: This study aims to provide a comprehensive review of spatiotemporal fusion (STF) methods, including their conception, development, challenges, and applications. It primarily focuses on deep learning-based STF models, which have achieved superior performance and significantly increased in number. The findings of this review guide the selection and design of STF models, as well as propose future directions for STF modeling. Importance rating: 9/10.
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
(2023)
Article
Computer Science, Information Systems
Juan Xiao, Ashwani Kumar Aggarwal, Uday Kiran Rage, Vaibhav Katiyar, Ram Avtar
Summary: This study proposes a novel end-to-end deep learning-based STF model called UAV-Net, which can generate centimeter-scale UAV images. Experimental results demonstrate the effectiveness of UAV-Net in producing high-quality UAV images both visually and quantitatively. Compared to existing STF models, UAV-Net satisfies the demand for precise crop monitoring.
Article
Environmental Sciences
Ravi Kumar, Manish Kumar, Akash Tiwari, Syed Irtiza Majid, Sourav Bhadwal, Netrananda Sahu, Ram Avtar
Summary: This study assesses the susceptibility to riverine flooding in India and creates a susceptibility map using multicriteria decision making and geographic information system. The study identifies proximity to rivers, drainage density, and mean annual rainfall as the key factors contributing to riverine floods in India. The highest susceptibility zones are found in the Brahmaputra, Ganga, and Indus River basins, posing a potential risk to India's food security. The research findings provide valuable information for policymakers and urban planners to reduce flood risks effectively.
