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Drainage Canals in Southeast Asian Peatland
Dadap, NathanStanford Digital Repository, 2020These images depict drainage canals and roads in peatlands in Borneo, Sumatra, and Peninsular Malaysia at 5 meter resolution. These canals were detected from July-September 2017 Planet Basemaps satellite imagery using a convolutional neural network. Please contact Nathan Dadap (ndadap@stanford.edu) with any questions.
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Drainage Canals in Southeast Asian Peatlands
Dadap, NathanStanford Digital Repository, 2020These images depict drainage canals and roads in peatlands in Borneo, Sumatra, and Peninsular Malaysia at 5 meter resolution. These canals were detected from July-September 2017 Planet Basemaps satellite imagery using a convolutional neural network. Please contact Nathan Dadap (ndadap@stanford.edu) with any questions.
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Quantifying hydrologic change in tropical peatlands
Dadap, Nathan Cyril[Stanford, California] : [Stanford University], 2022Tropical peatlands are a globally significant carbon sink that store over 100 Gt of carbon. In pristine peatlands, this sink is enabled by unique hydrologic characteristics that keep peat soils waterlogged year-round, in turn slowing down the decomposition of organic matter and protecting peat soil from burning. But Southeast Asian peatlands, which store about half of all tropical peatland carbon, have experienced extensive deforestation, drainage, and conversion to agricultural use in recent decades. Already, this degradation has resulted in devastating impacts. Deadly fires during drought years release massive amounts of carbon dioxide and smoke, and there is also evidence of increased decomposition rates throughout the region. Climate change threatens to further disrupt the hydrologic and carbon balance in peatlands. In this dissertation, I quantified changes in Southeast Asian peatland hydrology by developing the first datasets for two key hydrologic variables: surface soil moisture and drainage canals. This was made possible with new satellite-based sensors and advances in retrieval algorithms and computer vision. In Chapter 2, I showed that soil moisture can be measured with sufficient accuracy using data from NASA's Soil Moisture Active Passive satellite (counter to previous understanding), and found it can be used for predicting peat fire risk up to a month later. In Chapter 3, I created the first regional map of drainage canals. I found that drainage density correlates with higher carbon emissions rates, and counter to previous assumptions, does not correlate one-to-one with land use. In Chapter 4, I built a model to predict future soil moisture regimes under climate change, and found that drier climatic conditions may cause significant decreases in soil moisture, implying more severe fire regimes in the future. Thus, this dissertation provides new tools for studying and modeling changes in peatland hydrology, and the implications that these changes have for earth's carbon cycle
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Drainage Canals in Southeast Asian Peatland
Dadap, Nathan2020These images depict drainage canals and roads in peatlands in Borneo, Sumatra, and Peninsular Malaysia at 5 meter resolution. These canals were det...
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Drainage Canals in Southeast Asian Peatland, Index Map
Dadap, Nathan2020This polygon shapefile is an index to the Drainage Canals in Southeast Asian Peatland dataset. Dadap, Nathan C and Hoyt, Alison M and Cobb, Alexand...
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Drainage Canals in Southeast Asian Peatlands
Dadap, Nathan2020These images depict drainage canals and roads in peatlands in Borneo, Sumatra, and Peninsular Malaysia at 5 meter resolution. These canals were det...
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