Results 151 to 160 of about 35,282 (242)

Research progress on multimodal data fusion in forest resource monitoring. [PDF]

Front Plant Sci
Wang M, Zhang Q, Liu X, Zhang J, Yu F, Zhang X, Zhao R.   +6 more
europepmc   +1 more source

A Benchmark Dataset for Satellite-Based Estimation and Detection of Rain. [PDF]

Sci Data
Pfreundschuh S, Arulraj M, Behrangi A, Bogerd L, Calheiros AJP, Casella D, Dolatabadi N, Guilloteau C, Gong J, Kummerow CD, Kirstetter P, Lee G, Maahn M, Milani L, Panegrossi G, Palharini R, Petković V, Ryu S, Sanó P, Tan J.   +19 more
europepmc   +1 more source

Novel Carbon Dots Nanomaterials for the Precision Diagnosis and Treatment of Acute Lung Injury and Acute Respiratory Distress Syndrome: Mechanisms and Applications. [PDF]

Int J Nanomedicine
Fu W, Yao Y, Li Y.
europepmc   +1 more source

Non-contact lung disease classification via orthogonal frequency division multiplexing-based passive 6G integrated sensing and communication. [PDF]

Commun Med (Lond)
Buttar HM, Rahman MMU, Nawaz MW, Mian AN, Zahid A, Abbasi QH.   +5 more
europepmc   +1 more source

Deep Learning-Based Fusion of Optical, Radar, and LiDAR Data for Advancing Land Monitoring. [PDF]

Sensors (Basel)
Li Y, Xiao X.
europepmc   +1 more source

Proximal remote sensing: an essential tool for bridging the gap between high-resolution ecosystem monitoring and global ecology. [PDF]

New Phytol
Pierrat ZA, Magney TS, Richardson WP, Runkle BRK, Diehl JL, Yang X, Woodgate W, Smith WK, Johnston MR, Ginting YRS, Koren G, Albert LP, Kibler CL, Morgan BE, Barnes M, Uscanga A, Devine C, Javadian M, Meza K, Julitta T, Tagliabue G, Dannenberg MP, Antala M, Wong CYS, Santos ALD, Hufkens K, Marrs JK, Stovall AEL, Liu Y, Fisher JB, Gamon JA, Cawse-Nicholson K.   +31 more
europepmc   +1 more source

Toward Field Deployment: Tackling the Energy Challenge in Environmental Sensors. [PDF]

Sensors (Basel)
Paccoia VD, Bonacci F, Clementi G, Cottone F, Neri I, Mattarelli M.   +5 more
europepmc   +1 more source

Wheat yield prediction using integrated optical and radar remote sensing with machine learning across key phenological stages. [PDF]

Sci Rep
Navidi MN, Fazli E, Kharazmi R, Seyedmohammadi J.   +3 more
europepmc   +1 more source