A5008636170- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Hydrology and Watershed Management Studies
- Conservation, Biodiversity, and Resource Management
- Flood Risk Assessment and Management
- Urban Heat Island Mitigation
- Remote Sensing and LiDAR Applications
- Advanced Image Fusion Techniques
- Health disparities and outcomes
- Species Distribution and Climate Change
- Global Health Care Issues
- Urban Green Space and Health
- Soil Moisture and Remote Sensing
- Employment and Welfare Studies
- Climate change and permafrost
- Geographic Information Systems Studies
- Rangeland Management and Livestock Ecology
- Water resources management and optimization
- Cryospheric studies and observations
- Atmospheric and Environmental Gas Dynamics
- Banking stability, regulation, efficiency
- Neonatal Health and Biochemistry
- Landslides and related hazards
Institute for Global Environmental Strategies
2015-2024
Capital University
2019
Sandia National Laboratories California
2018
Institute for Global Environmental Strategies
2014
Chiba University
2012-2013
Florida Atlantic University
2008-2012
The University of Melbourne
2010-2012
Office for National Statistics
2007-2011
University of Kansas
2010
W.E. Upjohn Institute for Employment Research
2003
Deep learning (DL) algorithms have seen a massive rise in popularity for remote-sensing image analysis over the past few years. In this study, major DL concepts pertinent to are introduced, and more than 200 publications field, most of which were published during last two years, reviewed analyzed. Initially, meta-analysis was conducted analyze status remote sensing studies terms study targets, model(s) used, spatial resolution(s), type area, level classification accuracy achieved....
With the advent of high-spatial resolution (HSR) satellite imagery, urban land use/land cover (LULC) mapping has become one most popular applications in remote sensing. Due to importance context information (e.g., size/shape/texture) for classifying LULC features, Geographic Object-Based Image Analysis (GEOBIA) techniques are commonly employed areas. Regardless adopting a pixel- or object-based framework, selection suitable classifier is critical mapping. The popularity deep learning (DL)...
Owing to the huge number of species observations that can be collected by non-professional scientists, "citizen science" has great potential contribute scientific knowledge on invasive alien (IAS). Citizen science existed for centuries, but recent adoption information and communications technology (ICT) in this field (e.g. web- or mobile application-based interfaces citizen training data generation) led a massive surge popularity, mainly due reduced geographic barriers participation. Several...
Abstract Forest ecosystems play an indispensable role in addressing various pressing sustainability and social-ecological challenges such as climate change biodiversity loss. However, global forest loss has been, still is today, important issue. Here, based on spatially explicit data, we show that over the past 60 years (1960–2019), area declined by 81.7 million ha (i.e. 10% more than size of entire Borneo island), with (437.3 ha) outweighing gain (355.6 ha). With this decline population...
Globally, estimating crop acreage and yield is one of the most critical issues that policy decision makers need for assessing annual productivity food supply. Nowadays, satellite remote sensing geographic information system (GIS) can enable estimation these production parameters over large areas. The present work aims to estimate wheat (Triticum aestivum) Maharajganj, Uttar Pradesh, India, using satellite-based data products Carnegie-Ames-Stanford Approach (CASA) model. Pradesh largest...
Planning for a sustainable future involves understanding the past and present problems associated with urban centers. Rapid urbanization has caused significant adverse impacts on environment natural resources. In cities, one such impact is unsettling growth, resulting in heat island (UHI) effect, which causes considerable positive feedback climate system. It can be assessed by investigating relationships between Land Use/Land Cover (LULC) changes land surface temperature. This study links...
Illegal sand mining has been identified as a significant cause of harm to riverbanks, it leads excessive removal from rivers and negatively impacts river shorelines. This investigation aimed identify instances shoreline erosion accretion at illegal sites along the Chambal River. These were selected based on report submitted by Director National Sanctuary (NCS) Green Tribunal (NGT) India. The digital analysis system (DSAS v5.1) was used during elapsed period 1990 2020. Three statistical...
The NH 58 area in India has been experiencing an increase landslide occurrences, posing significant threats to local communities, infrastructure, and the environment. growing need identify areas prone landslides for effective disaster risk management, land use planning, infrastructure development led increased adoption of advanced geospatial technologies statistical methods. In this context, research article presents in-depth analysis aimed at developing a susceptibility zonation (LSZ) map...
In this study, a two-step classification procedure was used for classifying urban land cover. First, hierarchy of seven image segmentations different scales created an scene, and preliminary classifications were performed each the using algorithm that provides probability segment belongs to land-cover class in addition assignment. A higher assigned indicates is more likely have been classified correctly. The assignment segments six coarser added they contained finest scale segmentation allow...
Abstract We developed a multiscale object-based classification method for detecting diseased trees (Japanese Oak Wilt and Japanese Pine Wilt) in high-resolution multispectral satellite imagery. The proposed involved (1) hybrid intensity–hue–saturation smoothing filter-based intensity modulation (IHS-SFIM) pansharpening approach to obtain more spatially spectrally accurate image segments; (2) synthetically oversampling the training data of 'Diseased tree' class using Synthetic Minority...
Multi-scale/multi-level geographic object-based image analysis (MS-GEOBIA) methods are becoming widely-used in remote sensing because single-scale/single-level (SS-GEOBIA) often unable to obtain an accurate segmentation and classification of all land use/land cover (LULC) types image. However, there have been few comparisons between SS-GEOBIA MS-GEOBIA approaches for the purpose mapping a specific LULC type, so it is not well understood which more appropriate this task. In addition,...
Abstract A global reference data set on cropland was collected through a crowdsourcing campaign using the Geo-Wiki tool. The lasted three weeks, with over 80 participants from around world reviewing almost 36,000 sample units, focussing identification. For quality assessment purposes, two additional sets are provided. first is control of 1,793 locations validated by students trained in satellite image interpretation. This used to assess crowd as progressed. second contains 60 expert...
Convolutional neural network (CNN) has shown great success in computer vision tasks, but their application land-use type classifications within the context of object-based image analysis been rarely explored, especially terms identification irregular segmentation objects. Thus, a blocks-based classification (BOBIC) method was proposed to carry out end-to-end for objects using CNN. Specifically, BOBIC takes advantage CNN automatically extract complex features from original data, thereby...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTA Synthesis of Progesterone from Ergosterol1D. A. Shepherd, R. Donia, J. Allan Campbell, B. Johnson, P. Holysz, G. Slomp Jr., E. Stafford, L. Pederson, and C. OttCite this: Am. Chem. Soc. 1955, 77, 5, 1212–1215Publication Date (Print):March 1, 1955Publication History Published online1 May 2002Published inissue 1 March 1955https://pubs.acs.org/doi/10.1021/ja01610a036https://doi.org/10.1021/ja01610a036research-articleACS PublicationsRequest reuse...
Rapid global changes (population growth, urbanization and frequent extreme weather conditions) have cumulatively affected local water bodies resulted in unfavorable hydrological, ecological, environmental the major river systems. Particularly, communities isolated riverine islands are heavily due to their poor adaptive capacities, which is well documented contemporary literature. The focal point for vulnerability of these people lies resources (drinking availability, agricultural quality,...