Frontiers in Remote Sensing | New and Recent Articles https://www.frontiersin.org/journals/remote-sensing RSS Feed for Frontiers in Remote Sensing | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-08-16T00:25:58.188+00:00 60 https://www.frontiersin.org/articles/10.3389/frsen.2026.1843759 https://www.frontiersin.org/articles/10.3389/frsen.2026.1843759 <![CDATA[Testing a computed tomography imaging spectrometer for Earth observations on the HEIMDAL stratospheric balloon mission]]> 2026-08-13T00:00:00Z Original Research Mads Juul AhlebækAlbertino Antonio Almeida BachLoui Collin-EnochChristian CordesBoas HermanssonChristian Hald JessenSøren Peter JørgensenTobias JørgensenViktor Ulrich KanstrupLaurits Tværmose NielsenJes Enok SteinmüllerMads Svanborg PetersJonathan MerrisonRené Lynge EriksenChristoffer KaroffMads Toudal Frandsen https://www.frontiersin.org/articles/10.3389/frsen.2026.1803946 https://www.frontiersin.org/articles/10.3389/frsen.2026.1803946 <![CDATA[Integrated eco-environmental risk mapping in the mountainous tropical landscapes of the Western Ghats, Kerala]]> 2026-08-13T00:00:00Z Original Research J. DrisiyaSarmistha Singh https://www.frontiersin.org/articles/10.3389/frsen.2026.1931285 https://www.frontiersin.org/articles/10.3389/frsen.2026.1931285 <![CDATA[Editorial: Rising stars in remote sensing 2025: advancements in time series analysis]]> 2026-08-11T00:00:00Z Editorial Jane SouthworthNicolas Baghdadi https://www.frontiersin.org/articles/10.3389/frsen.2026.1888267 https://www.frontiersin.org/articles/10.3389/frsen.2026.1888267 <![CDATA[Estimation of GPP in northern hemisphere terrestrial ecosystems based on light use efficiency model and chlorophyll fluorescence]]> 2026-08-04T00:00:00Z Original Research Ziwei DengMeizhen XiangShudan Chen https://www.frontiersin.org/articles/10.3389/frsen.2026.1919576 https://www.frontiersin.org/articles/10.3389/frsen.2026.1919576 <![CDATA[DBF-YOLO: a lightweight dual-branch fusion method for Visible-SAR cross-modal remote sensing target detection]]> 2026-08-04T00:00:00Z Original Research Xiaofeng ZhaoChenxiao LiHui ZhangKehao WangFan ZhangHanshuo HuoZhili Zhang https://www.frontiersin.org/articles/10.3389/frsen.2026.1843209 https://www.frontiersin.org/articles/10.3389/frsen.2026.1843209 <![CDATA[AI-driven prediction of plant physiological traits in hemp using UAV-based multispectral imagery]]> 2026-08-04T00:00:00Z Original Research Harjot SidhuArnab BhowmikHarmandeep Sharma https://www.frontiersin.org/articles/10.3389/frsen.2026.1814582 https://www.frontiersin.org/articles/10.3389/frsen.2026.1814582 <![CDATA[Comparative machine learning classification of a heterogeneous Ramsar wetland using Sentinel-1 and Sentinel-2 imagery with quantity and allocation disagreement diagnostics]]> 2026-07-31T00:00:00Z Original Research Cornelia ChifuriraErwin SiebenIrvin ShanduSifiso Xulu https://www.frontiersin.org/articles/10.3389/frsen.2026.1839369 https://www.frontiersin.org/articles/10.3389/frsen.2026.1839369 <![CDATA[Leveraging large language models (LLMs) for GeoAI-enabled digital agro-advisory]]> 2026-07-31T00:00:00Z Review Shalini GakharRaj Kumar Singh https://www.frontiersin.org/articles/10.3389/frsen.2026.1819365 https://www.frontiersin.org/articles/10.3389/frsen.2026.1819365 <![CDATA[Hyperspectral indices and global fluorescence: how PACE vegetation indices correlate with terrestrial photosynthesis]]> 2026-07-30T00:00:00Z Original Research Caleb S. HarmonK. Fred HuemmrichRandolph H. WynneValerie A. ThomasRui Cheng https://www.frontiersin.org/articles/10.3389/frsen.2026.1852249 https://www.frontiersin.org/articles/10.3389/frsen.2026.1852249 <![CDATA[Remote sensing-based detailed wetland classification: a review of advances from 2020 to 2025]]> 2026-07-30T00:00:00Z Review Ying HeMuzi LiXiaoyan TangPing Ren https://www.frontiersin.org/articles/10.3389/frsen.2026.1856867 https://www.frontiersin.org/articles/10.3389/frsen.2026.1856867 <![CDATA[Comparative analysis on spectral characteristics of PRISMA and EnMAP hyperspectral missions]]> 2026-07-24T00:00:00Z Original Research Valeria La PegnaSora SeoDavide De SantisFabio Del FrateDiego Loyola https://www.frontiersin.org/articles/10.3389/frsen.2026.1931394 https://www.frontiersin.org/articles/10.3389/frsen.2026.1931394 <![CDATA[Editorial: Machine learning for advanced remote sensing: from theory to applications and societal impact]]> 2026-07-24T00:00:00Z Editorial Rui LiShaoqing DaiBin JiangCong ZhangHaoyang YangWufan Zhao https://www.frontiersin.org/articles/10.3389/frsen.2026.1877406 https://www.frontiersin.org/articles/10.3389/frsen.2026.1877406 <![CDATA[Estimating forest aboveground carbon stock from remote sensing data with an enhanced XGBoost model]]> 2026-07-23T00:00:00Z Original Research Chenfei ShiCui JiaLinghan GaoQi LiuHaonan WangMengyu Xu https://www.frontiersin.org/articles/10.3389/frsen.2026.1861186 https://www.frontiersin.org/articles/10.3389/frsen.2026.1861186 <![CDATA[High-precision individual tree canopy segmentation from UAV remote sensing imagery based on the improved BKFE-UNet model]]> 2026-07-22T00:00:00Z Methods Qi LiuCui JiaLinghan GaoHaonan WangChenfei ShiMengyu XuKaiyu JiaSiyu Ma https://www.frontiersin.org/articles/10.3389/frsen.2026.1825086 https://www.frontiersin.org/articles/10.3389/frsen.2026.1825086 <![CDATA[Global assessment of merged multi-sensor ocean-colour chlorophyll-a products]]> 2026-07-21T00:00:00Z Original Research Silvia PardoGavin H. TilstoneGiorgio Dall’OlmoThomas M. JordanRobert J. W. BrewinTania G. D. Casal 13,000 satellite match- ups and then filtered them to produce the highest quality data. The suite of merged ocean-colour chl-a products assessed using the in situ chl-a included two Ocean Colour - Climate Change Initiative (OC-CCI) versions (OC-CCI v5 and OC-CCI v6), two GlobColour products and the Copernicus Marine Environment Monitoring Service (CMEMS) GlobColour L3 and L4 and CMEMS-CCI products. The results confirm that spectrophotometrically-derived chl-a estimates can achieve considerably larger numbers of satellite match ups and lower root mean squared errors in validation than those obtained from discrete estimates of chl-a. Using these data, all of the satellite products (except the GlobColour L4 gap-filled one) exhibited similarly consistent results with the in situ chl-a data with a mean relative percentage difference of 30%. Residuals (differences between in situ and satellite product data) were not homogeneously distributed across chl-a ranges however, with mainly negative residuals at low and high chl-a and mainly positive residuals at intermediate chl-a. These results illustrate that absolute biases of the order of 20%–50% still affect these merged products in specific parts of the chl-a range.]]> https://www.frontiersin.org/articles/10.3389/frsen.2026.1793996 https://www.frontiersin.org/articles/10.3389/frsen.2026.1793996 <![CDATA[Intra-event extreme rainfall characterization in the tropical Andes: a high-resolution weather radar approach]]> 2026-07-21T00:00:00Z Original Research Gabriela UrgilésRolando CélleriDaniela BallariJörg BendixJohanna Orellana-Alvear https://www.frontiersin.org/articles/10.3389/frsen.2026.1827393 https://www.frontiersin.org/articles/10.3389/frsen.2026.1827393 <![CDATA[A multi-class, multi-temporal crop and Land cover mapping framework for Morocco using Sentinel-1/2 monthly composites and advanced machine learning ensembles]]> 2026-07-21T00:00:00Z Original Research Maryam ChoukriYacine BouroubiJamal-Eddine OuzemouSaid GrichGuy Armel Kamga FotsoSaeid OjaghiAbdelghani ChehbouniAhmed Laamrani https://www.frontiersin.org/articles/10.3389/frsen.2026.1890112 https://www.frontiersin.org/articles/10.3389/frsen.2026.1890112 <![CDATA[Evaluating statistical downscaling methods for future temperature and precipitation projections in the Qilian mountains]]> 2026-07-17T00:00:00Z Original Research Guohua LiuChanchan GaoZhangwen LiuHuibang HanChuntan HanJiaze LiRensheng Chen https://www.frontiersin.org/articles/10.3389/frsen.2026.1882437 https://www.frontiersin.org/articles/10.3389/frsen.2026.1882437 <![CDATA[Neutrosophic soft-computing ensemble for high-accuracy satellite image scene classification]]> 2026-07-08T00:00:00Z Original Research Ezhilmaran DevarasanMaxime Mahieu JosseSm ArunV. VishalBapathu KoushikaAbhyuday SinghJenisha Rachel https://www.frontiersin.org/articles/10.3389/frsen.2026.1813566 https://www.frontiersin.org/articles/10.3389/frsen.2026.1813566 <![CDATA[Integration of radiative transfer–machine learning for physiological mapping of leaf chlorophyll and anthocyanin in cotton]]> 2026-07-08T00:00:00Z Original Research Prachi SinghMohan K. BistaChamika A. SilvaNuwan K. WijewardaneJohn P. BrooksPrakash Kumar JhaRaju Bheemanahalli