Article describes survey identifying opportunities for hydrologic modeling and monitoring to support overlapping management contexts.

Article is a self-critique of human geography that explicates the basic tenets of dialectical materialism in Marx’s work and presents some human geography research that engages with dialectical materialism.

Article identifies inter-city transportation routes in complex terrains using quantitative methods in GIS.

This article proposes a toe line tracking (TLT) method for the automated measurement of dune migration rate and direction using multi-temporal digital elevation models (DEM) derived from light detection and ranging (LiDAR) data to overcome a major limitation of the existing method of pairs of source and target points (PSTP).

Article introduces a semi-automated method for extracting stream channels and channel profiles from high-resolution digital elevation models (DEMs) using image processing techniques. The method is implemented as an ArcGIS Python add-in toolbar named Channel Extraction and demonstrated using a lidar-derived DEM in a study area along the San Andreas fault in California, USA.

Article presents a study (i) assessing and modeling soil erosion vulnerability based on the Analytic Hierarchy Process (AHP) approach in Hoffenthal and KwaMaye communities within the uThukela Catchment, South Africa; and (ii) identifying the relevant sustainable interventions and remedial strategies to combat soil erosion in the study area.

Article explores the value of hydrologic modeling and monitoring with respect to two dimensions: scientific credibility and use of generated knowledge in the design, implementation, and evaluation of the watershed management program in the Camboriú watershed, Brazil.

This article maps the dynamics of PM2.5 concentrations at high spatio-temporal resolutions using bicycle-based, mobile measures on a university campus.

This article evaluates the targeting strategy of a national-level program in Mexico that distributed agricultural support based on seven criteria that prioritized poor smallholder farming communities at high risk of cropland failure. The findings highlight the continued lack of financial support for smallholder agriculture in Mexico, despite program rules and priority statements that stress the vulnerability of this sector. The article also illustrates the important role of spatial targeting in better aligning agricultural support payments with stated policy priorities.

This article employs nighttime light (NTL) information as a proxy indicator of gross domestic product(GDP), and a future land use simulation model (FLUS) to simulate the land use patterns in Guangzhou from 2015 to 2018 and 2018 to 2035 by incorporating planning policies. This study demonstrates that NTL is a suitable and feasible proxy indicator of GDP for the land use simulations, providing a scientific basis for the development of urban planning and construction policy.

Data management plan for the grant, "Multi-Source Irrigation Status and Type Mapping." This grant will quantify the long-term irrigation status and system type changes in the Mississippi Alluvial Valley for an advanced understanding of irrigation-induced water resource changes by integrating multi-source earth observation data, machine learning techniques, artificial intelligence and cloud computing.

This article identifies the key urban form determinants of decadal-long fine particulate matter (PM2.5) trends in all 626 Chinese cities at the county level and above. As the first study of its kind, this study comprehensively examines the urban form effects on air quality in cities of different population sizes, at different development levels, and in different spatial-autocorrelation positions.

Data management plan for the grant, "Patterns and Drivers of Intra-Urban Heat and Pollution Island Interactions." Research on the urban heat island (UHI) and urban pollution island (UPI) effects at the neighborhood scale by integrating sensor networks, earth observations, and geospatial analysis. The spatial patterns and intra-annual variability of UHI-UPI interactions and model the urban form drivers controlling UHI-UPI interaction variability will also be examined. These data will be analyzed to determine when and where urban heat islands and urban pollution islands occur, and the risks that their interaction poses to urban residents. These results will support informed decision-making for urban heat and air pollution mitigation.

First paper of a series on the City Health Outlook (CHO) project, which aims to establish multi-scale, long-lasting, real-time urban environment and health monitoring networks. This paper is targeted at illustrating the characteristics of the participants and examining the effects of different covariates on personal exposure at various air pollution exposure levels.

Article examining urban cyclists' risk of exposure to harmful concentrations of fine particulate matter (PM₂.₅).

This article, fused airborne LiDAR and hyperspectral data were used to extract urban objects in cloud shadows.The experimental results confirm that the proposed method is very effective for urban object extraction in cloud shadows and thus improve urban applications such as urban green land management, land use analysis, and impervious surface assessment.

This article proposes a three-dimensional (3D) vegetation extraction workflow to extract urban grasses and trees at individual tree level in urban areas using airborne LiDAR and hyperspectral data. Results suggest that two- and three-dimensional urban vegetation extraction could play a significant role in spatial layout optimization and scientific management of urban vegetation.

Article is a case study of Mesa Verde subsistence utilizing optimal foraging theory models from evolutionary ecology to study small animal resource use during the Pueblo II to Terminal Pueblo III periods.

Article examines the association between incorrect knowledge of ovulation and unintentional pregnancy/child among young women in sub-Saharan Africa countries.

This article presents a comparative study of water indices and image classification algorithms for mapping inland water bodies using Landsat imagery through obtaining 24 high-resolution (≤5 m) and cloud-free images archived in Google Earth with the same (or ±1 day) acquisition dates as the Landsat-8 OLI images over 24 selected lakes across the globe, and developing a method to generate the alternate ground truth data from the Google Earth images for properly evaluating the Landsat image classification results.

Article studying the change characteristics of soil moisture and temperature under different water level treatments in Wuchuan County, Inner Mongolia, China.

Article is a study mapping forest height by combining photon-counting LiDAR data and Landsat OLI data.

This article is a short review that explores different perspectives and approaches to the study of bark and what they reveal about the myriad ways bark surfaces influence the quality of sub-canopy precipitation.

Data management plan for the grant, "Collaborative Research: MRA: Particulates in canopy flowpaths: A missing mass flux at the macrosystem scale?" This research will investigate a vital, but currently uncharacterized, macrosystem biogeochemical function within forest canopies at the very start of the terrestrial hydrologic cycle: particulate concentration, flux, and composition in rainwaters draining from forest canopies. We will address three major objectives: (1) Estimate the net rainfall (TF+ SF) water and particulate mass flux across forest types; (2) Characterize the particulate composition (C:N:P, including C components, like total C, organic C, black C, and microplastic C) of TF and SF; and (3) Identify major drivers of macrosystem variability in net rainfall particulate flux and composition.