Frontiers in Remote Sensing | Agro-Environmental Remote Sensing section | New and Recent Articles https://www.frontiersin.org/journals/remote-sensing/sections/agro-environmental-remote-sensing RSS Feed for Agro-Environmental Remote Sensing section in the Frontiers in Remote Sensing journal | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-05-14T09:59:19.569+00:00 60 https://www.frontiersin.org/articles/10.3389/frsen.2026.1779561 https://www.frontiersin.org/articles/10.3389/frsen.2026.1779561 <![CDATA[Development of an in-season nitrogen application dose estimation algorithm for cotton using multispectral imaging-based nitrogen adequacy index]]> 2026-04-10T00:00:00Z Original Research R. RajaD. KanjanaP. NalayiniK. RameashG. Tamil AmuthamT. ArumuganathanD. BlaiseY. G. Prasad https://www.frontiersin.org/articles/10.3389/frsen.2026.1711426 https://www.frontiersin.org/articles/10.3389/frsen.2026.1711426 <![CDATA[Spectral assessment of nutrient limitation in the savanna landscape: selection of spectral indices towards Sentinel-2 upscaling]]> 2026-03-17T00:00:00Z Original Research Nasiphi NgcolisoAbel RamoeloPhilemon TseleMcebisi QabaqabaSiyamthanda Gxokwe https://www.frontiersin.org/articles/10.3389/frsen.2026.1730222 https://www.frontiersin.org/articles/10.3389/frsen.2026.1730222 <![CDATA[A multi-feature fusion based remote sensing inversion method for farmland shelterbelts]]> 2026-02-17T00:00:00Z Original Research Qi ZhangYuncheng ZhouHongge ZhaoWenhao WuYuekun Huang https://www.frontiersin.org/articles/10.3389/frsen.2025.1669081 https://www.frontiersin.org/articles/10.3389/frsen.2025.1669081 <![CDATA[A low-cost MLS prototype for voxel-based above-ground biomass estimation in short-rotation plantations]]> 2025-12-10T00:00:00Z Original Research Michal SkladanArunima SinghJuliana ChudáMartin LieskovskýMatej MasnýJozef Vyboštok https://www.frontiersin.org/articles/10.3389/frsen.2025.1620109 https://www.frontiersin.org/articles/10.3389/frsen.2025.1620109 <![CDATA[Synergizing BRDF correction and deep learning for enhanced crop classification in GF-1 WFV imagery]]> 2025-07-10T00:00:00Z Original Research Yuanwei ChenYang LiRunze LiChongzheng GuoJilin Li https://www.frontiersin.org/articles/10.3389/frsen.2025.1581355 https://www.frontiersin.org/articles/10.3389/frsen.2025.1581355 <![CDATA[Enhancing vegetation monitoring: a proposal for a Sentinel-2 based vegetation health index]]> 2025-06-30T00:00:00Z Original Research Sandeep KumarSwarnendu Sekhar GhoshDipankar MandalAvik BhattacharyaAlok PorwalL. Karthikeyan https://www.frontiersin.org/articles/10.3389/frsen.2025.1571149 https://www.frontiersin.org/articles/10.3389/frsen.2025.1571149 <![CDATA[A systematic review of remote sensing technologies and techniques for agricultural insect pest monitoring: lessons for locustana pardalina (Brown Locust) control in South Africa]]> 2025-05-30T00:00:00Z Systematic Review Kuselwa MpisaneMahlatse KganyagoCilence MunghemezuluRoger PriceLwandile Nduku https://www.frontiersin.org/articles/10.3389/frsen.2025.1572114 https://www.frontiersin.org/articles/10.3389/frsen.2025.1572114 <![CDATA[Assessing SWOT interferometric SAR altimetry for inland water monitoring: insights from Lake Léman]]> 2025-04-09T00:00:00Z Original Research Henri BazziNicolas BaghdadiYen-Nhi NgoCassandra NormandinFrédéric FrappartCecile Cazals https://www.frontiersin.org/articles/10.3389/frsen.2025.1520963 https://www.frontiersin.org/articles/10.3389/frsen.2025.1520963 <![CDATA[Advancing river flow monitoring with small uncrewed aircraft and simulation-driven development]]> 2025-03-18T00:00:00Z Methods Michael DilleMassimo VespignaniJonathan BruceUland Wong https://www.frontiersin.org/articles/10.3389/frsen.2024.1360572 https://www.frontiersin.org/articles/10.3389/frsen.2024.1360572 <![CDATA[Forestry climate adaptation with HarvesterSeasons service—a gradient boosting model to forecast soil water index SWI from a comprehensive set of predictors in Destination Earth]]> 2024-12-20T00:00:00Z Technology and Code Mikko StrahlendorffAnni KrögerGolda PrakasamMiriam KosmaleMikko MoisanderHeikki OvaskainenAsko Poikela https://www.frontiersin.org/articles/10.3389/frsen.2024.1337953 https://www.frontiersin.org/articles/10.3389/frsen.2024.1337953 <![CDATA[Fine-scale surficial soil moisture mapping using UAS-based L-band remote sensing in a mixed oak-grassland landscape]]> 2024-11-20T00:00:00Z Original Research Michelle SternRyan FerrellLorraine FlintMelina KozanitasDavid AckerlyJack ElstonMaciej StachuraEryan DaiJames Thorne https://www.frontiersin.org/articles/10.3389/frsen.2024.1414540 https://www.frontiersin.org/articles/10.3389/frsen.2024.1414540 <![CDATA[Remote estimation of leaf nitrogen content, leaf area, and berry yield in wild blueberries]]> 2024-11-18T00:00:00Z Original Research Kenneth Eteme AnkuDavid C. PercivalRajasekaran LadaBrandon HeungMathew Vankoughnett https://www.frontiersin.org/articles/10.3389/frsen.2024.1305991 https://www.frontiersin.org/articles/10.3389/frsen.2024.1305991 <![CDATA[Evaluating the potential for efficient, UAS-based reach-scale mapping of river channel bathymetry from multispectral images]]> 2024-04-04T00:00:00Z Original Research Carl J. LegleiterLee R. Harrison https://www.frontiersin.org/articles/10.3389/frsen.2024.1370697 https://www.frontiersin.org/articles/10.3389/frsen.2024.1370697 <![CDATA[A new framework for improving semantic segmentation in aerial imagery]]> 2024-03-19T00:00:00Z Original Research Shuke HeChen JinLisheng ShuXuzhi HeMingyi WangGang Liu https://www.frontiersin.org/articles/10.3389/frsen.2024.1351703 https://www.frontiersin.org/articles/10.3389/frsen.2024.1351703 <![CDATA[Secure learning-based coordinated UAV–UGV framework design for medical waste transportation]]> 2024-03-15T00:00:00Z Original Research Desh Deepak SharmaJeremy Lin https://www.frontiersin.org/articles/10.3389/frsen.2023.1095275 https://www.frontiersin.org/articles/10.3389/frsen.2023.1095275 <![CDATA[UAS remote sensing applications to abrupt cold region hazards]]> 2023-08-14T00:00:00Z Review Megan VerfaillieEunsang ChoLauren DwyreImran KhanCameron WagnerJennifer M. JacobsAdam Hunsaker https://www.frontiersin.org/articles/10.3389/frsen.2023.1182973 https://www.frontiersin.org/articles/10.3389/frsen.2023.1182973 <![CDATA[Erratum: Accuracy of UAV photogrammetry in glacial and periglacial alpine terrain: A comparison with airborne and terrestrial datasets]]> 2023-03-20T00:00:00Z Erratum Frontiers Production Office https://www.frontiersin.org/articles/10.3389/frsen.2022.1085808 https://www.frontiersin.org/articles/10.3389/frsen.2022.1085808 <![CDATA[Spectral variability in fine-scale drone-based imaging spectroscopy does not impede detection of target invasive plant species]]> 2023-01-16T00:00:00Z Original Research Kelsey HuelsmanHoward EpsteinXi YangLydia MulloriLucie ČervenáRoderick Walker https://www.frontiersin.org/articles/10.3389/frsen.2022.1038287 https://www.frontiersin.org/articles/10.3389/frsen.2022.1038287 <![CDATA[UAV hyperspectral imaging for multiscale assessment of Landsat 9 snow grain size and albedo]]> 2023-01-12T00:00:00Z Original Research S. McKenzie SkilesChristopher P. DonahueAdam G. HunsakerJennifer M. Jacobs https://www.frontiersin.org/articles/10.3389/frsen.2022.1027065 https://www.frontiersin.org/articles/10.3389/frsen.2022.1027065 <![CDATA[Assessing UAV-based laser scanning for monitoring glacial processes and interactions at high spatial and temporal resolutions]]> 2022-12-12T00:00:00Z Methods Nathaniel R. BaurleyChristopher TomsettJane K. Hart 300 points per m−2 at 40 m flying height). Our data has enabled us to: 1) Accurately map surface elevation changes (Median errors under 0.1 m), 2) Reconstruct the geometry and evolution of an active calving front, 3) Produce more accurate estimates of the volume of ice lost through calving, and 4) Better detect surface crevasse morphology, providing future scope to extract size, depth and improve the monitoring of their evolution through time. We also compared our results to data obtained in parallel using UAV-SfM, which further emphasised the relative advantages of our method and suitability in glaciology. Consequently, our study highlights the potential of UAV-LS in glacial research, particularly for investigating glacier mass balance, changing ice dynamics, and calving glacier behaviour, and thus we suggest it has a significant role in advancing our knowledge of, and ability to monitor, rapidly changing glacial environments in future.]]>