Article describes study which assesses the relative accuracy of volunteer water quality data collected by the Texas Stream Team (TST) citizen science program from 1992–2016 across the State of Texas by comparing it to professional data from corresponding stations during the same time period.

Article discusses how China implemented the first phase of its National Healthy Cities pilot program from 2016-20. Authors recommend aligning the Healthy Cities initiative in China with strategic national and global level agendas such as Healthy China 2030 and the Sustainable Development Goals (SDGs) by providing an integrative governance framework to facilitate a coherent intersectoral program to systemically improve population health.

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.

Authors of the article state that airborne particulate matter (PM) can accumulate on feather surfaces and alter feather appearance, so they quantified PM accumulation on Rock Pigeon feathers and analyzed the spectral properties of extracted particulates. Their findings suggest that wild birds could incur an urban pollution penalty as PM accumulation has the potential to alter feather properties.

Article describes study which develops a static geospatial soil moisture model, the Soil Moisture Proxy Model, which uses soil and topographic variables to estimate soil moisture potential across a watershed in order to better understand the quality of farmland in terms of soil moisture.

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.

Article describes how forests are generally extracted from remotely sensed images based on the spectral features, ignoring other important auxiliary information, and the techniques of precise extraction need to be further improved. By using the Sentinel–2 image and auxiliary factors (AFs) including site conditions (SCs) and vegetation indices (VIs), the random forest model with AFs (RF–AFs) was adopted for the extraction of the economic forests in Lancang County, which is a mountainous area with rich biodiversity and is witnessing rapid development of economic forests in Yunnan province of China.

Article describes how forests are generally extracted from remotely sensed images based on the spectral features, ignoring other important auxiliary information, and the techniques of precise extraction need to be further improved. By using the Sentinel–2 image and auxiliary factors (AFs) including site conditions (SCs) and vegetation indices (VIs), the random forest model with AFs (RF–AFs) was adopted for the extraction of the economic forests in Lancang County.

Article describes how soil moisture (SM) and atmospheric humidity (AH) are crucial climatic variables that significantly affect the climate system. However, the combined influencing mechanisms of SM and AH on the land surface temperature (LST) under global warming are still unclear. The authors systematically analyzed the interrelationships among annual mean values of SM, AH, and LST using ERA5-Land reanalysis data and revealed the role of SM and AH on the spatiotemporal variations of LST through mechanism analysis and regression methods.

Article testing the hypothesis that domesticated camelids occurred in prehispanic, southern Mendoza through analysis of ancient DNA.

Article focusing on West Nile Virus (WNV), a mosquito borne pathogen, as a case study for spatial data visualization of environmental characteristics of a vector’s habitat alongside human demographic composition for understanding potential public health risks of infectious disease.

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.

Article describes how the low-cost sensor has changed the air quality monitoring paradigm with the capacity for efficient network expansion and community engagement. This study comprehensively assessed ten widely used data techniques, namely AdaBoost, Bayesian ridge, gradient tree boosting, K-nearest neighbors, Lasso, multivariable linear regression, neural network, random forest, ridge regression, and support vector machine.

This paper identifies the uncertain areas and figures out the problematic land cover types in the MODIS Collection 5 global land cover dataset without ground validation samples.

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.

Article describes how there is a growing need to apply geospatial artificial intelligence analysis to disparate environmental datasets to find solutions that benefit frontline communities. This research addresses these challenges by leveraging a strategically deployed, extensive low-cost sensor (LCS) network that was rigorously calibrated through an optimized neural network.

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.