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   Articles with "remote sensing" as a keyword



Remote sensing evidence of decadal changes in major tropospheric ozone precursors over East Asia

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recommendations! Published in 2017 at "Journal of Geophysical Research"

DOI: 10.1002/2016jd025663

Abstract: Recent regulatory policies in East Asia reduce ozone precursors, but these changes are spatially and temporally nonuniform. This study investigates variations in the long-term trends of tropospheric NO2, HCHO, and HCHO/NO2 ratios to diagnose ozone… read more here.

Keywords: hcho; south korea; remote sensing; ozone precursors ... See more keywords

First Top-Down Estimates of Anthropogenic NO_x Emissions Using High-Resolution Airborne Remote Sensing Observations

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recommendations! Published in 2018 at "Journal of Geophysical Research"

DOI: 10.1002/2017jd028009

Abstract: A number of satellite‐based instruments have become an essential part of monitoring emissions. Despite sound theoretical inversion techniques, the insufficient samples and the footprint size of current observations have introduced an obstacle to narrow the… read more here.

Keywords: anthropogenic emissions; high resolution; airborne remote; remote sensing ... See more keywords

A Hybrid of Optical Remote Sensing and Hydrological Modeling Improves Water Balance Estimation

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recommendations! Published in 2018 at "Journal of Advances in Modeling Earth Systems"

DOI: 10.1002/2017ms000986

Abstract: Declining gauging infrastructure and fractious water politics have decreased available information about river flows globally. Remote sensing and water balance modelling are frequently cited as potential solutions, but these techniques largely rely on these same… read more here.

Keywords: water; hybrid optical; water balance; remote sensing ... See more keywords

A brief history of remote sensing of soybean

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recommendations! Published in 2025 at "Agronomy Journal"

DOI: 10.1002/agj2.70004

Abstract: The last 20 years have been a period of significant advancement in the tools available for remote sensing of soybean [Glycine max (L.) Merr.] in terms of price, ease of use, quality of information provided,… read more here.

Keywords: history; remote sensing; brief history; research ... See more keywords

High‐performance hyperspectral remote sensing and machine learning algorithms for detection of blister blight in Camellia sinensis

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recommendations! Published in 2025 at "Agronomy Journal"

DOI: 10.1002/agj2.70060

Abstract: Camellia sinensis is a widely cultivated crop that is harvested for two leaves and a bud. However, these soft tissues are highly susceptible to the infection known as Exobasidium vexans. This fungal disease reduces the… read more here.

Keywords: blister blight; machine learning; remote sensing; camellia sinensis ... See more keywords
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Application of remote sensing technology to estimate productivity and assess phylogenetic heritability

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recommendations! Published in 2020 at "Applications in Plant Sciences"

DOI: 10.1002/aps3.11401

Abstract: PREMISE Measuring plant productivity is critical to understanding complex community interactions. Many traditional methods for estimating productivity, such as direct measurements of biomass and cover, are resource intensive, and remote sensing techniques are emerging as… read more here.

Keywords: plant; productivity; remote sensing; vegetation ... See more keywords

Correlating species and spectral diversities using hyperspectral remote sensing in early‐successional fields

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recommendations! Published in 2017 at "Ecology and Evolution"

DOI: 10.1002/ece3.2876

Abstract: Abstract Advances in remote sensing technology can help estimate biodiversity at large spatial extents. To assess whether we could use hyperspectral visible near‐infrared (VNIR) spectra to estimate species diversity, we examined the correlations between species… read more here.

Keywords: species diversity; diversity; spectral diversity; early successional ... See more keywords

Remote sensing‐based landscape indicators for the evaluation of threatened‐bird habitats in a tropical forest

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recommendations! Published in 2017 at "Ecology and Evolution"

DOI: 10.1002/ece3.2970

Abstract: Abstract Avian species persistence in a forest patch is strongly related to the degree of isolation and size of a forest patch and the vegetation structure within a patch and its matrix are important predictors… read more here.

Keywords: patch; landscape; remote sensing; structure ... See more keywords

Remote Sensing and Landcover in Ring‐Necked Pheasant Research: A Review of Data Sources and Scales

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recommendations! Published in 2025 at "Ecology and Evolution"

DOI: 10.1002/ece3.71576

Abstract: ABSTRACT Documenting wildlife–habitat relationships at multiple scales is essential for conservation. Remote sensing datasets and their derivatives (e.g., landcover data) enable efficient multi‐scale assessment of ring‐necked pheasant ( Phasianus colchicus ) habitat, albeit with trade‐offs… read more here.

Keywords: sensing landcover; remote sensing; research; necked pheasant ... See more keywords

Temporal dynamic analysis of a mountain ecosystem based on multi‐source and multi‐scale remote sensing data

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recommendations! Published in 2019 at "Ecosphere"

DOI: 10.1002/ecs2.2708

Abstract: During the last decades, ecosystems have suffered a decline in natural resources due to climate change and anthropogenic pressure. Specifically, the European rabbit introduced by humans, as well as drought episodes, have led to a… read more here.

Keywords: multi source; ecosystem; remote sensing; multi ... See more keywords

Pre‐fire vegetation drives post‐fire outcomes in sagebrush ecosystems: evidence from field and remote sensing data

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recommendations! Published in 2019 at "Ecosphere"

DOI: 10.1002/ecs2.2929

Abstract: and remote sensing data www.nrfirescience.org/resource/20404 Understanding the factors that influence vegetation responses to disturbance is important because vegetation is the foundation of food resources, wildlife habitat, and ecosystem properties and processes. We integrated vegetation cover… read more here.

Keywords: pre fire; field; remote sensing; vegetation ... See more keywords