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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 products suggests that agriculture and fisheries are the predominant drivers of mangrove degradation. The relationship between water balance and degradation shows that naturogenic drivers have a wider impact than anthropogenic drivers, and degradation in particular regions is likely to be a result of the accumulation of various drivers. In large-scale studies, remote sensing data products could be integrated as a remarkably powerful instrument in assisting evidence-based policy making.
Anjar Sakti; Adam Fauzi; Felia Wilwatikta; Yoki Rajagukguk; Sonny Sudhana; Lissa Yayusman; Luri Syahid; Tanakorn Sritarapipat; Jeark Principe; Nguyen Trang; Endah Sulistyawati; Inggita Utami; Candra Arief; Ketut Wikantika. Multi-Source Remote Sensing Data Product Analysis: Investigating Anthropogenic and Naturogenic Impacts on Mangroves in Southeast Asia. Remote Sensing 2020, 12, 2720 .
AMA StyleAnjar Sakti, Adam Fauzi, Felia Wilwatikta, Yoki Rajagukguk, Sonny Sudhana, Lissa Yayusman, Luri Syahid, Tanakorn Sritarapipat, Jeark Principe, Nguyen Trang, Endah Sulistyawati, Inggita Utami, Candra Arief, Ketut Wikantika. Multi-Source Remote Sensing Data Product Analysis: Investigating Anthropogenic and Naturogenic Impacts on Mangroves in Southeast Asia. Remote Sensing. 2020; 12 (17):2720.
Chicago/Turabian StyleAnjar Sakti; Adam Fauzi; Felia Wilwatikta; Yoki Rajagukguk; Sonny Sudhana; Lissa Yayusman; Luri Syahid; Tanakorn Sritarapipat; Jeark Principe; Nguyen Trang; Endah Sulistyawati; Inggita Utami; Candra Arief; Ketut Wikantika. 2020. "Multi-Source Remote Sensing Data Product Analysis: Investigating Anthropogenic and Naturogenic Impacts on Mangroves in Southeast Asia." Remote Sensing 12, no. 17: 2720.
The last half century has witnessed the increasing trend of renewable energy utilization with solar photovoltaic (PV) systems as one of the most popular option. Solar PV continues to supplement the main grid in powering both commercial establishments (mainly for reduced electricity expense) as well as residential houses in isolated areas (for basic energy requirement such as for lighting purposes). The objective of this study is to assess the available solar PV power (PPV) potential considering the effects of high temperature, dust and snow in the Asia Pacific region. The PPV potential was estimated considering the effects of the said meteorological parameters using several satellite data including shortwave radiation from Advanced Himawari Imager 8 (AHI8), MOD04 aerosol data from Moderate Resolution Imaging Spectroradiometer (MODIS), precipitation rate from Global Satellite Mapping of Precipitation (GSMaP), air temperature from NCEP/DOE AMIP-II Reanalysis-2 data, and snow water equivalent (SWE) from Microwave Scanning Radiometer for the Earth Observing System (AMSR-E). The model is validated by comparing its outputs with the measured PV power from two solar PV installations in Bangkok, Thailand and Perth, Australia. Results show that maximum PPV is estimated at 2.5 GW (cell efficiency of 17.47%) for the region with the maximum decrease in PPV estimated to be about < 2%, 22% and 100% due to high temperature (temperature coefficient of power = 0.47%/K), dust and snow, respectively. Moreover, areas in India and Northern China were observed to experience the effects of both dust and temperature during March-April-May (MAM) season. Meanwhile, countries located in the higher latitudes were severely affected by snow while Australia by high temperature during Dec-Jan-Feb (DJF) season. The model has a mean percentage prediction error (PPE) range of 5% to18% and 7% to 23% in seasonal and monthly estimations, respectively. Outputs from this study can be used by stakeholders of solar PV in planning for small-scale or large-scale solar PV projects in the solar rich region of Asia Pacific.
J. A. Principe; W. Takeuchi. ASSESSMENT OF SOLAR PV POWER POTENTIAL IN THE ASIA PACIFIC REGION WITH REMOTE SENSING CONSIDERING THE EFFECTS OF HIGH TEMPERATURE, DUST AND SNOW. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2019, XLII-4/W19, 339 -346.
AMA StyleJ. A. Principe, W. Takeuchi. ASSESSMENT OF SOLAR PV POWER POTENTIAL IN THE ASIA PACIFIC REGION WITH REMOTE SENSING CONSIDERING THE EFFECTS OF HIGH TEMPERATURE, DUST AND SNOW. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2019; XLII-4/W19 ():339-346.
Chicago/Turabian StyleJ. A. Principe; W. Takeuchi. 2019. "ASSESSMENT OF SOLAR PV POWER POTENTIAL IN THE ASIA PACIFIC REGION WITH REMOTE SENSING CONSIDERING THE EFFECTS OF HIGH TEMPERATURE, DUST AND SNOW." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W19, no. : 339-346.
The introduction of solar photovoltaic (PV) systems in isolated areas which are far from the main grid has provided energy to non-electrified households. Such off-grid technology is very promising in the Asia Pacific region where increase in population and regional development has brought an increase in energy demand. This paper presents a methodology to assess the available supply of energy from solar PV systems and the corresponding demand from non-electrified areas. Non-electrified high population density areas were extracted using global population distribution and nightlight data, while the suitability of installing solar PV systems in those areas were identified based on slope, land cover and estimated solar PV power output. Moreover, the cost and benefits of installation were estimated based on the levelized cost of electricity generation from PV (LCOEPV) and the percentage in the total household budget that can shoulder the said expense. Lastly, this study also proposed a novel and simple method to extract the power transmission lines (TLs) based on global road network and nightlight data used for defining off-grid areas. Results show that there are three general types of electrification trend in the region with only 11 out 28 countries exhibiting the ideal trend of decreasing population living in unlit areas with increasing GDP. This study also generated maps showing the spatial distribution of high potential areas for solar PV installation in Cambodia, North Korea and Myanmar as case studies. To date, the high estimated household income allotted for PV electricity is still experienced in most countries in the region, but these countries also have high initial generated electricity from PV systems. Outputs from this study can provide stakeholders with relevant information on the suitable areas for installations in the region and the expected socio-economic benefits.
Jeark Principe; Wataru Takeuchi. Supply and Demand Assessment of Solar PV as Off-Grid Option in Asia Pacific Region with Remotely Sensed Data. Remote Sensing 2019, 11, 2255 .
AMA StyleJeark Principe, Wataru Takeuchi. Supply and Demand Assessment of Solar PV as Off-Grid Option in Asia Pacific Region with Remotely Sensed Data. Remote Sensing. 2019; 11 (19):2255.
Chicago/Turabian StyleJeark Principe; Wataru Takeuchi. 2019. "Supply and Demand Assessment of Solar PV as Off-Grid Option in Asia Pacific Region with Remotely Sensed Data." Remote Sensing 11, no. 19: 2255.
Jeark Principe; Wataru Takeuchi. Assessment of solar PV power potential over Asia Pacific region with remote sensing considering meteorological factors. Journal of Renewable and Sustainable Energy 2019, 11, 013502 .
AMA StyleJeark Principe, Wataru Takeuchi. Assessment of solar PV power potential over Asia Pacific region with remote sensing considering meteorological factors. Journal of Renewable and Sustainable Energy. 2019; 11 (1):013502.
Chicago/Turabian StyleJeark Principe; Wataru Takeuchi. 2019. "Assessment of solar PV power potential over Asia Pacific region with remote sensing considering meteorological factors." Journal of Renewable and Sustainable Energy 11, no. 1: 013502.