Remote Sensing Information Science Research (2024)

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Multi-Source Remote Sensing Data Product Analysis: Investigating Anthropogenic and Naturogenic Impacts on Mangroves in Southeast Asia

Jeark Principe

This study investigated the drivers of degradation in Southeast Asian mangroves through multi-source remote sensing data products. The degradation drivers that affect approximately half of this area are unidentified; therefore, naturogenic and anthropogenic impacts on these mangroves were studied. Various global land cover (GLC) products were harmonized and examined to identify major anthropogenic changes affecting mangrove habitats. To investigate the naturogenic factors, the impact of the water balance was evaluated using the Normalized Difference Vegetation Index (NDVI), and evapotranspiration and precipitation data. Vegetation indices’ response in deforested mangrove regions depends significantly on the type of drivers. A trend analysis and break point detection of percentage of tree cover (PTC), percentage of non-tree vegetation (PNTV), and percentage of non-vegetation (PNV) datasets can aid in measuring, estimating, and tracing the drivers of change. The assimilation of GLC pr...

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Prospects for Long-Term Agriculture in Southern Africa: Emergent Dynamics of Savannah Ecosystems from Remote Sensing Observations

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Ana Barros

Hydro-climatic resilience is an essential element of food security. The miombo ecosystem in Southern Africa supports varied land uses for a growing population. Albedo, Leaf Area Index (LAI), Fractional Vegetation Cover (FVC), Solar-Induced chlorophyll Fluorescence (SIF), and precipitation remote-sensing data for current climate were jointly analyzed to explore vegetation dynamics and water availability feedbacks. Changes in the surface energy balance tied to vegetation status were examined in the light of an hourly albedo product with improved atmospheric correction derived for this study. Phase-space analysis shows that the albedo’s seasonality tracks the landscape-scale functional stability of miombo and woody savanna with respect to precipitation variations. Miombo exhibits the best adaptive traits to water stress which highlights synergies among root-system water uptake capacity, vegetation architecture, and landscape hydro-geomorphology. This explains why efforts to conserve th...

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Establishing common standards and requirements for Earth Observation management, access and sharing

AVRAAM MAVRIDIS

This thesis was conducted and completed within the international project OBSERVE, which aims to help coordinate and intensify cooperation between the Balkan countries in the field of Earth Observation, which is a goal of paramount importance for the development and sustainability of the region the Balkan peninsula in the future. This paper has attempted to collect, organize and assess relevant material through the available sources and applications of the Internet, as well as from creditable national, international organizations and private companies which are an essential part in the evolution of issues on Earth Observation in a global scale. Accumulation and presentation of material in a wider field of Earth Observation was approached, such as education, sensors, data sources etc., as well as on international initiatives such as GMES (Global Monitoring for Environment and Security), the ESA (European Space Agency), the GEOSS (Global Earth Observation System of Systems), et al. It ...

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Remote Sensing

Remote Sensing to Study Mangrove Fragmentation and Its Impacts on Leaf Area Index and Gross Primary Productivity in the South of Peninsular Malaysia

kasturi kanniah

Mangrove is classified as an important ecosystem along the shorelines of tropical and subtropical landmasses, which are being degraded at an alarming rate despite numerous international treaties having been agreed. Iskandar Malaysia (IM) is a fast-growing economic region in southern Peninsular Malaysia, where three Ramsar Sites are located. Since the beginning of the 21st century (2000–2019), a total loss of 2907.29 ha of mangrove area has been estimated based on medium-high resolution remote sensing data. This corresponds to an annual loss rate of 1.12%, which is higher than the world mangrove depletion rate. The causes of mangrove loss were identified as land conversion to urban, plantations, and aquaculture activities, where large mangrove areas were shattered into many smaller patches. Fragmentation analysis over the mangrove area shows a reduction in the mean patch size (from 105 ha to 27 ha) and an increase in the number of mangrove patches (130 to 402), edge, and shape comple...

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Identification of Synergistic Actions between Cu0 and Cu+ Sites in Hydrogenation of Dimethyl Oxalate from Microkinetic Analysis

Febronia Lasi

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Distributed Database Management for Scientific Data Analysis

1993 •

Michael Gennert

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Remote sensing of vegetation fires and its contribution to a fire management information system

2004 •

Andy Hudak

In the last decade, research has proven that remote sensing can provide very useful support to fire managers. This chapter provides an overview of the types of information remote sensing can provide to the fire community. First, it considers fire management information needs in the context of a fire management information system. An introduction to remote sensing then precedes a description of fire information obtainable from remote sensing data (such as vegetation status, active fire detection and burned areas assessment). Finally, operational examples in five African countries illustrate the practical use of remotely sensed fire information.

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Climate Dynamics

MODIS land cover uncertainty in regional climate simulations

Joseph P Messina

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Remote Sensing Information Science Research (2024)

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