A5083724980- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Conservation, Biodiversity, and Resource Management
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Species Distribution and Climate Change
- Agriculture, Land Use, Rural Development
- Sustainable Agricultural Systems Analysis
- Rangeland Management and Livestock Ecology
- Impact of Light on Environment and Health
- Rangeland and Wildlife Management
- Forest ecology and management
- African Botany and Ecology Studies
- Agroforestry and silvopastoral systems
- Time Series Analysis and Forecasting
- Urban and Rural Development Challenges
- Water resources management and optimization
- Child Nutrition and Water Access
- Remote Sensing and LiDAR Applications
- Agriculture Sustainability and Environmental Impact
- Tree-ring climate responses
- Advanced Image Fusion Techniques
- Oil Palm Production and Sustainability
- Geological Modeling and Analysis
- Effects of Environmental Stressors on Livestock
The University of Queensland
2020-2024
Indigo Information Services (United States)
2022-2023
Boston University
2017-2022
McGill University
2013-2018
Oak Ridge National Laboratory
2011-2012
United States Census Bureau
2010-2012
Latin America has the planet's largest land reserves for agriculture and had most rapid agricultural expansion during twenty-first century. A large portion of replaced forests, as shown by many local regional studies. However, varied regionally also other covers. Further, it is important to distinguish between changes in cropland pastureland they produce food at different levels efficiency intensity. We used thirteen years (2001–2013) MODerate Resolution Imaging Spectroradiometer satellite...
The high rate of global urbanization has resulted in a rapid increase informal settlements, which can be defined as unplanned, unauthorized, and/or unstructured housing. Techniques for efficiently mapping these settlement boundaries benefit various decision making bodies. From remote sensing perspective, settlements share unique spatial characteristics that distinguish them from other types structures (e.g., industrial, commercial, and formal residential). These are often captured resolution...
In response to the extensive loss of forests caused by soy and cattle expansion in South America, several countries have increased their legal restrictions on deforestation, stepped up enforcement. addition, Brazilian Amazon, new private agreements were initiated 2006 2009 limit purchase linked with deforestation. One concern is that such policies, because they are spatially heterogeneous or focus a subset relevant actors, might generate negative spillovers form leakage agricultural...
Abstract The interactions between climate and land‐use change are dictating the distribution of flora fauna reshuffling biotic community composition around world. Tropical mountains particularly sensitive because they often have a high human population density, long history agriculture, range‐restricted species, high‐beta diversity due to steep elevation gradient. Here we evaluated in woody vegetation tropical Andes South America for period 2001–2014. For analyses created annual...
State-of-the-art cloud computing platforms such as Google Earth Engine (GEE) enable regional-to-global land cover and change mapping with machine learning algorithms. However, collection of high-quality training data, which is necessary for accurate mapping, remains costly labor-intensive. To address this need, we created a global database nearly 2 million units spanning the period from 1984 to 2020 seven primary nine secondary classes. Our data approach leveraged GEE algorithms ensure...
Long, J.; Napton, D.; Giri, C., and Graesser, J., 2014. A mapping monitoring assessment of the Philippines' mangrove forests from 1990 to 2010.Information on present condition spatiotemporal dynamics is needed for land-change studies integrated natural resources planning management. Although several national estimates Philippines exist, information unavailable at sufficient spatial thematic detail change analysis. Historical contemporary distribution maps 2010 were prepared nominal 30-m...
Carbon sequestration through tropical reforestation and natural regeneration could make an important contribution to climate change mitigation, given that forest cover in many regions increased during the early part of 21st century. The size this carbon sink will depend on degree which second-growth forests are permanent protected from re-clearing. Yet few studies have assessed permanence reforestation, especially not at a large spatial scale. Here, we analyzed 14-year time series...
Previous research on the relationship between impervious surfaces and population has focused limited areas. This paper considers for an entire country. Multiple spatial resolution optical imagery was integrated with census data to refine distribution of in Haiti. A classification regression tree (CART) methodology used create a percent impervious-area layer based ten high-resolution training chips Landsat Enhanced Thematic Mapper (ETM+) mosaic. estimate then became input dasymetric mapping...
A combination of high commodity crop prices, rising global food demand, and technological advances has transformed the scale production. Farming in South America is a prime example, where large-scale cash crops, such as soy, have land use dynamics at forest frontier. We evaluate this transformation sub-Andean by estimating cover detecting individual cropland field parcels using Landsat imagery 5 year intervals over 24 period. From 1990 to 2014, expansion onto deforested was increasingly...
South America has been an epicenter of land cover and use change (LCLUC) for over five decades due to rapid agricultural expansion along forest frontiers, the establishment plantations in savannas, desertification drylands. Most attention focused on LCLUC tropical forests, so information regarding magnitude, geography, rate across sub-tropical temperate ecosystems Argentina, Paraguay, Uruguay (APU) is incomplete. To address this, we used Landsat map changes fractional bare ground, woody...
We performed a Water Footprint Sustainability Assessment (WFSA) in the Xingu Basin of Mato Grosso (XBMT), Brazil, with objectives (1) tracking blue (as surface water) and green water soil moisture regenerated by precipitation) consumption recent years (2000, 2014); (2) evaluating agricultural intensification options for future (2030, 2050) considering effects deforestation climate change on availability basin. The sector was largest consumer basin despite there being almost no irrigation...
Abstract The Cerrado (savanna) and Pantanal (wetland) biomes of Central Western Brazil have experienced significant development activity in recent decades, including extensive land cover conversion from natural ecosystems to agriculture urban expansion. Cuiabá River transects the biome prior inundating large areas Pantanal, creating one largest biodiversity hot spots world. We measured dissolved organic carbon (DOC) optical absorbance fluorescence properties matter (DOM) 40 sampling...
In order to map the spatial extent and location of slum settlements multiple methodologies have been devised including remote sensing based methods field using surveys census data. this study we utilize spatial, structural, contextual features (e.g., PanTex, Histogram Oriented Gradients, Line Support Regions, Hough transforms others) calculated at scales from high resolution satellite data areas compare these estimates three maps: one UN Habitat/Accra Metropolitan Assembly (UNAMA) two...
The impact of land cover change across the planet continues to necessitate accurate methods detect and monitor evolving processes from satellite imagery. In this context, regional global mapping over time has largely treated as independent addressed temporal map consistency a post-classification endeavor. However, we argue that can be better modeled codependent during model classification stage produce more consistent estimates long periods gradual events. To temporally-dependent...
Time series reconstruction methods are widely used to generate smooth and gap-free time using imagery acquired at coarse spatial resolution high frequency return intervals. However, as interest has grown in leveraging the nearly 40-a record of Landsat study long-term changes terrestrial ecosystems 30-m resolution, new required reconstruct imagery, which have lower temporal density than sensors such AVHRR or MODIS. To address this need, we introduce a dynamic smoothing (DTS) method that...
Abstract The expansion of cattle in central western Brazil has been under scrutiny because the region’s historic reliance on Amazon and Cerrado deforestation for cropland pastureland expansion. In this study, we determined volumetric water footprint (VWF) land (LF) Mato Grosso state years 2000, 2005, 2010 2014 using official statistics remote sensing imagery. We found average VWF time period to be 265–270 l kg −1 LW (LW as live weight cattle) a LF which decreased from 71 47 m 2 . largest...
Per-pixel (or single instance) based classification schemes which have proven to be very useful in thematic shown inadequate when it comes analyzing high resolution remote sensing imagery. The main problem being that the pixel size (less than a meter) is too small as compared typical object (100s of meters) and contains little contextual information accurately distinguish complex settlement types. One way alleviate this consider bigger window or patch/segment consisting group adjacent pixels...
Global human population growth and an increasingly urbanizing world have led to rapid changes in settlement landscapes patterns. Timely monitoring assessment of these dissemination accurate information is important for policy makers, city planners, humanitarian relief workers. Satellite imagery provides useful data the aforementioned applications, remote sensing can be used identify quantify change areas. We explore a probabilistic framework settlements using very high-resolution satellite...
Accurate damage assessment due to major natural and anthropogenic disasters is becoming critical increasing human economic losses. This increase in loss of life severe damages can be attributed the growing population, migration settlements disaster prone regions world. Rapid dissemination accurate information for creating an effective emergency response. Remote sensing geographic systems (GIS) based techniques tools are playing important function reporting activities. In this review, we will...
People living within cities tend to live near others who have similar characteristics such as socioeconomic status, religion or ethnicity. Generally the of these spatial groups manifest themselves at neighborhood level and they in dwellings. In this study we examine ability use features spectral information, derived from high resolution satellite data, map variations dwellings determine amount information can derive about people city Accra, Ghana. The examined are line support regions,...
Python has become the leading programming language in a wide variety of sciences including remote sensing. Developments N-dimensional array handling using numpy, and particularly xarray its integration with projects like Dask, Jax, CUDA allow for intuitive scalable analysis multi-dimensional data Python. Spatial types can now be handled by rasterio GDAL gridded spatial formats GeoTIFF, geopandas vectors. Once arrays are accessible, they passed to tools scikit-learn machine learning or use...