Remote Sensing MDPI
@RemoteSens_MDPI
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No. 1 #remotesensing #openaccess journal in Remote Sensing Category in #WoS , published by @MDPIOpenAccess ; IF 2023 4.2; CiteScore 2023 8.3; #mdpiremotesensing
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🌍Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover
by Zander S. Venter, David N. Barton, Tirthankar Chakraborty, Trond Simensen and Geethen Singh
#LandUse
#LandCover
#Esri
1
108
336
#altmetric
#remotesensing
📢Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using
#Aerial
#RGB
Imagery and
#DeepLearning
by Mirela Beloiu, Lucca Heinzmann, Nataliia Rehush, Arthur Gessler
👉Read the full article:
1
67
297
#MostDownloaded
🌲Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using
#Aerial
RGB Imagery and
#DeepLearning
by Mirela Beloiu, Lucca Heinzmann, Nataliia Rehush, Arthur Gessler and Verena C. Griess
#forest
0
42
209
#MostCited
🌲Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using Aerial RGB Imagery and
#DeepLearning
by Mirela Beloiu, Lucca Heinzmann, Nataliia Rehush, Arthur Gessler and Verena C. Griess
#forest
1
36
165
#remotesensing
#books
MDPI Books
📚 Title: Advanced Machine Learning and Deep Learning Approaches for Remote Sensing
🔗Download here:
✒Edited by Gwanggil Jeon
0
38
155
#notablepaper
📢Modeling Mean
#Radiant
Temperature Distribution in
#UrbanLandscapes
Using DART by Maria Angela Dissegna, Tiangang Yin, Hao Wu, Nicolas Lauret, et al.
👉 Read the full article:
1
40
148
#notablepaper
📢
#PlanetScope
,
#Sentinel2
, and
#Sentinel1
Data Integration for Object-Based Land Cover Classification in
#GoogleEarthEngine
by Marco Vizzari
👉Read the full article:
1
42
142
#GoogleEarthEngine
, Open-Access
#Satellite
Data, and
#MachineLearning
in Support of Large-Area Probabilistic
#Wetland
Mapping
by Jennifer N. Hird, Evan R. DeLancey, Gregory J. McDermid and Jahan Kariyeva
👉
#cloudcomputing
#Sentinel
#remotesensing
1
63
138
#MostCited
#remotesensing
#MachineLearning
Classification of Mediterranean
#Forest
Habitats in
#GoogleEarthEngine
Based on Seasonal
#Sentinel
-2 Time-Series and Input Image Composition Optimisation
by Salvatore Praticò, Francesco Solano, et al
0
29
137
Multispectral
#RemoteSensing
as a Tool to Support Organic
#Crop
Certification: Assessment of the Discrimination Level between Organic and Conventional Maize
by Antoine Denis, Baudouin Desclee, et al
👉
0
37
127
#remotesensing
🌾Using High-Resolution
#UAV
Imaging to Measure Canopy Height of Diverse Cover Crops and Predict Biomass by Robin Kümmerer, Patrick Ole Noack and Bernhard Bauer
#crop
#imageresolution
1
35
123
#notablepaper
📢Potential of Ultra-High-Resolution
#UAV
Images with Centimeter
#GNSS
Positioning for Plant Scale Crop Monitoring by Jean-Marc Gilliot, Dalila Hadjar and Joël Michelin
👉Read the full article:
1
33
117
#MostCited
#remotesensing
Vertical Accuracy of Freely Available Global
#DigitalElevationModels
(ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM)
by Evelyn Uuemaa, Sander Ahi, Bruno Montibeller, Merle Muru and Alexander Kmoch
1
33
119
#LatestPaper
📢
#RemoteSensing
Object Detection in the
#DeepLearning
Era—A Review by Shengxi Gui, Shuang Song, Rongjun Qin and Yang Tang
#imageprocessing
0
29
120
#remotesensing
#books
MDPI Books
📚 Title: Crop Disease Detection Using Remote Sensing Image Analysis
🔗 Download here:
✒Edited by Xanthoula Eirini Pantazi
0
43
118
#mostcited
🌳 Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using
#Aerial
#RGB
Imagery and Deep Learning
by Mirela Beloiu, Lucca Heinzmann, et al.
➡️
#DeepLearning
0
36
116
#remotesensing
#books
MDPI Books
📚 Title: Integrated Applications of Geo-Information in Environmental Monitoring
🔗Download here:
✒Edited by Weicheng Wu and Yalan Liu
0
40
113
#mostcited
🌍Land Use and Land Cover Mapping Using
#Sentinel
-2,
#Landsat
-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods
by Vahid Nasiri, Azade Deljouei, Fardin Moradi, et al.
#LandUse
#LandCover
#GoogleEarthEngine
0
18
109
#remotesensing
#books
MDPI Books
📚 Title: Land Degradation Assessment with Earth Observation
🔗Download here:
✒Edited by Elias Symeonakis
0
32
106
#LatestPaper
🍃
#Canopy
-Level
#Spectral
Variation and Classification of Diverse
#Crop
Species with Fine
#SpatialResolution
Imaging Spectroscopy
by Jie Dai, Marcel König, Elahe Jamalinia, Kelly L. Hondula, Nicholas R. Vaughn et al.
#agricultur
2
23
106
#remotesensing
📢Modeling the
#Spatial
Dynamics of
#SoilOrganicCarbon
Using Remotely-Sensed Predictors in Fuzhou City, China by Terefe Hanchiso Sodango, Jinming Sha, Xiaomei Li, Tomasz Noszczyk, Jiali Shang et al
👉Read the full article:
0
24
101
STAIR 2.0: A Generic and Automatic
#Algorithm
to Fuse Modis,
#Landsat
, and
#sentinel2
to Generate 10 m, Daily, and Cloud-/Gap-Free
#Surface
#Reflectance
Product
by Yunan Luo, Kaiyu Guan et al
👉
#remotesensing
#Fusion
0
28
104
📢Newly released Vol. 16, Iss. 8, April-2 2024 of
#remotesensing
📜Cover Article :"Using Satellite Observations and citizen Science Data for River Ice Monitoring"
🥳Welcome to read!
🖇️
1
22
103
#editorchoice
📢
#Hyperspectral
Reconnaissance:
#JointCharacterization
of the
#SpectralMixtureResidual
Delineates
#Geologic
Unit Boundaries in the White Mountains, CA
by Francis J. Sousa and Daniel J. Sousa
🔗
1
20
101
🌴 Global
#Mangrove
Extent Change 1996–2020: Global Mangrove Watch Version 3.0
by Pete Bunting, Ake Rosenqvist, Lammert Hilarides, Richard M. Lucas, Nathan Thomas, Takeo Tadono, Thomas A. Worthington, Mark Spalding, Nicholas J. Murray and Lisa-Maria Rebelo
1
28
102
#remotesensing
#books
MDPI Books
📚 Title: Remote Sensing in Agriculture: State-of-the-Art
🔗
✒️Edited by Enrico Borgogno-Mondino, Eufemia Tarantino and Alessandra Capolupo et al
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25
99
#Landsat
-9 takes the
#waterquality
retrieval to the next level!
First study on
#inland
and
#coastal
#waterquality
retrieval from
#OLI2
imagery
by Milad Niroumand-Jadidi
@M_Niroumand
, Francesca Bovolo, Mariano Bresciani, Peter Gege and Claudia Giardino
0
22
97
💧 Flash Flood Water Depth Estimation Using SAR Images, Digital Elevation Models, and Machine Learning Algorithms
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➡️
0
28
95
#mostcited
📢
#EarthObservation
and Biodiversity
#BigData
for Forest Habitat Types Classification and Mapping by Emiliano Agrillo, Federico Filipponi, Alice Pezzarossa, Laura Casella, Daniela Smiraglia et al
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1
26
94
#mostdownloaded
Global
#Mangrove
Watch: Updated 2010 Mangrove Forest Extent (v2.5) by Pete Bunting, Ake Rosenqvist, Lammert Hilarides, Richard M. Lucas and Nathan Thomas
🔗
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23
93
📢
#call4reading
Assessing the Effect of Training Sampling Design on the Performance of
#MachineLearning
Classifiers for
#LandCoverMapping
Using
#MultiTemporal
#RemoteSensing
Data and
#GoogleEarth
Engine by Shobitha Shetty et al.
🔗
1
25
91
🌴Use of the Sentinel-2 and Landsat-8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon
by Isabel Caballero, et al.
➡️
0
29
94
#remotesensing
#books
MDPI Books
📚 Title: Techniques and Applications of UAV-Based Photogrammetric 3D Mapping
🔗Download here:
✒Edited by Wanshou Jiang, San Jiang and Xiongwu Xiao
0
34
91
#mostdownloaded
📢 Using
#RemoteSensing
to Quantify the Joint Effects of
#Climate
and
#LandUse
/
#LandCover
Changes on the Caatinga Biome of
#NortheastBrazilian
by Alexandre Maniçoba da Rosa Ferraz Jardim et al.
🔗
1
21
91
#mostdownloaded
🌲Individual Tree Segmentation and Tree Height Estimation Using Leaf-Off and Leaf-On
#UAV
-
#LiDAR
Data in Dense Deciduous
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by Qingda Chen, Tian Gao, Jiaojun Zhu, Fayun Wu, Xiufen Li, Deliang Lu and Fengyuan Yu
#forest
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23
92
#latestpaper
📢 Unlocking Large-Scale
#Crop
#FieldDelineation
in Smallholder Farming Systems with
#TransferLearning
and
#WeakSupervision
by Sherrie Wang, François Waldner and David B. Lobell
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0
11
90
#remotesensing
#books
MDPI Books
📚 Title: Remote Sensing in Hydrology and Water Resources Management
🔗Download here:
✒Edited by Weili Duan, Shreedhar Maskey, Pedro Luiz Borges Chaffe, Pingping Luo, Bin He, Yiping Wu and Jingming Hou
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#MostDownloaded
🌾Estimation of Leaf Nitrogen Content in
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Using
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Indices and Feature Variable Optimization with Information Fusion of Multiple-Sensor Images from
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16
85
#remotesensing
#books
MDPI Books
📚 Title: Remote Sensing of Precipitation: Part II
🔗Download here:
✒Edited by Silas Michaelides
0
24
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#mostcited
📢Tree Species Classification of Forest Stands Using
#Multisource
#RemoteSensing
Data by Haoming Wan, Yunwei Tang, Linhai Jing, Hui Li, Fang Qiu and Wenjin Wu
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19
86
#mostcited
Comparison of Support
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and
#RandomForests
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#CorineLandCover
Mapping by Anca Dabija, Marcin Kluczek, Bogdan Zagajewski et al.
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19
86
#mostcited
👉Accuracy Assessment in
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🔗
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28
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🌿Spatial Scale Effect and Correction of Forest Aboveground Biomass Estimation Using Remote Sensing
by Ying Yu, et al.
➡️
0
21
85
#remotesensing
#books
MDPI Books
📚 Title: UAVs for Vegetation Monitoring
🔗Download here:
✒Edited by Ana de Castro Megías, Yeyin Shi, Jose M. Peña and Joe Maja
0
32
84
#mostcited
📢Enhancement of Detecting Permanent Water and Temporary Water in Flood Disasters by Fusing
#Sentinel1
and
#Sentinel2
Imagery Using
#DeepLearning
Algorithms: Demonstration of Sen1Floods11 Benchmark Datasets by Yanbing Bai, Wenqi Wu, Zhengxin Yang, Jinze Yu et al
1
18
85
Enhancement of Detecting Permanent
#Water
and Temporary Water in
#Flood
Disasters by Fusing
#Sentinel
-1 and Sentinel-2 Imagery Using
#DeepLearning
Algorithms: Demonstration of Sen1Floods11 Benchmark Datasets
by Yanbing Bai, Wenqi Wu, et al
1
24
81
#MostCited
🔥
#Spatial
Prediction of
#Wildfire
Susceptibility Using Hybrid
#MachineLearning
Models Based on Support Vector Regression in Sydney, Australia by Arip Syaripudin Nur, Yong Je Kim, Joon Ho Lee and Chang-Wook Lee
#earthobservation
#emergency
0
25
82
#remotesensing
#books
MDPI Books
📚 Title: Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements
🔗Download here:
✒Edited by Monidipa Das, Soumya K. Ghosh, V. M. Chowdary, Pabitra Mitra and Santosh Rijal
1
26
82
📣Volume 16, Issue 13 is here!
🌱Limitations of a Multispectral
#UAV
Sensor for Multiscale
#Vegetation
Validation
📰
Check all papers in the Issue:
➡️
1
21
82
#MostDownload
#remotesensing
#MachineLearning
Classification of Mediterranean
#Forest
Habitats in
#GoogleEarthEngine
Based on Seasonal
#Sentinel
-2 Time-Series and Input
#Image
Composition Optimisation
by Salvatore Praticò, Francesco Solano et al
0
21
81
#remotesensing
#books
MDPI Books
📚 Title:
#UAVPhotogrammetry
and
#RemoteSensing
🔗Download here:
✒Edited by Fernando Carvajal-Ramírez, Francisco Agüera-Vega and Patricio Martínez-Carricondo
1
29
79
#mdpiremotesensing
We are pleased to announce that the newly released Impact Factor for Remote Sensing is 4.509, 5-Year Impact Factor is 5.001 (Journal Citation Report, 2019 Edition).
0
11
77
#LatestPaper
📢Evaluation of
#Sentinel2
Based Chlorophyll-a Estimation in a Small-Scale Reservoir: Assessing Accuracy and Availability by Wonjin Jang, Jinuk Kim, Jin Hwi Kim, Jae-Ki Shin, Kangmin Chon, Eue Tae Kang et al
#enginnering
0
22
80
#remotesensing
#books
MDPI Books
📚 Title:
#DeepLearning
and
#ComputerVision
in Remote Sensing
🔗 Download here:
✒Edited by Fahimeh Farahnakian, Jukka Heikkonen and Pouya Jafarzadeh
0
29
78
#remotesensing
#books
📚 Title: Synthetic Aperture Radar (
#SAR
) Meets
#DeepLearning
🔗 Link:
🎓Edited by Tianwen Zhang, Tianjiao Zeng and Xiaoling Zhang
@BooksMDPI
@MDPIOpenAccess
0
19
76
#call4reading
📢 Welcome to read the highly accessed article
#Retrieval
and
#Mapping
of
#SoilOrganicCarbon
Using
#Sentinel2A
#SpectralImages
from Bare
#Cropland
in Autumn by Ke Wang, Yanbing Qi, Wenjing Guo, Jielin Zhang, and Qingrui Chang
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1
13
76
#remotesensing
📢A New
#MachineLearning
Approach in Detecting the Oil Palm Plantations Using
#RemoteSensing
Data by Kaibin Xu, Jing Qian, Zengyun Hu, Zheng Duan, Chaoliang Chen, Jun Liu, Jiayu Sun, Shujie Wei and Xiuwei Xing
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0
20
75
#notablepaper
📢 A New
#MachineLearning
Approach in Detecting the
#OilPalm
Plantations Using
#RemoteSensing
Data by Kaibin Xu, Jing Qian, Zengyun Hu, Zheng Duan, Chaoliang Chen, Jun Liu, Jiayu Sun, Shujie Wei and Xiuwei Xing
🔗 Read the full article:
0
20
76
#notablepaper
📢Spatial Heterogeneity and Temporal Variation in Urban Surface Albedo Detected by High-Resolution
#Satellite
Data by Hantian Wu, Bo Huang, Zhaoju Zheng, Zonghan Ma and Yuan Zeng
👉 Read the full article:
1
18
77
#remotesensing
🌊Investigating the Feasibility of Using
#Satellite
Rainfall for the Integrated Prediction of
#Flood
and
#Landslide
Hazards over Shaanxi Province in Northwest China by Sheng Wang, Ke Zhang, Lijun Chao, Guoding Chen et al
#rainfall
#water
0
17
74
#mostcited
📢Mapping Regional
#SoilOrganicMatter
Based on
#Sentinel2A
and
#MODIS
Imagery Using
#MachineLearning
Algorithms and
#GoogleEarthEngine
by Meiwei Zhang, Meinan Zhang, Haoxuan Yang, Yuanliang Jin et al
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0
18
75
#notablepaper
📢 Studying the Feasibility of Assimilating
#Sentinel2
and
#PlanetScope
Imagery into the
#SAFY
#CropModel
to Predict Within-Field
#WheatYield
by V.S. Manivasagam et al.
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0
12
75
#remotesensing
📢Using
#UAV
-Based
#Photogrammetry
to Obtain Correlation between the
#VegetationIndices
and Chemical Analysis of Agricultural Crops by Jiří Janoušek, Václav Jambor, Petr Marcoň, Přemysl Dohnal et al
👉Read the full article:
0
19
76
#LatestPaper
📢Improving
#LandUse
and
#LandCover
Information of Wunbaik
#Mangrove
Area in Myanmar Using U-Net Model with Multisource
#RemoteSensing
Datasets by Win Sithu Maung, Satoshi Tsuyuki and Zhiling Guo
#ecology
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17
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#remotesensing
📢Estimation of Forest
#LAI
Using Discrete
#Airborne
#LiDAR
: A Review by Luo Tian, Yonghua Qu and Jianbo Qi
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0
20
76
#remotesensing
#books
MDPI Books
📚 Title: Remote Sensing of Hydro-Meteorology
🔗Download here:
✒Edited by Joo-Heon Lee, Jong-Suk Kim, Young Hun Jung and Chanyang Sur
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21
75
#remotesensing
#books
MDPI Books
📚 Title: Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS
🔗Download here:
✒Edited by Chang-Wook Lee, Hyangsun Han, Hoonyol Lee and Yu-Chul Park
0
22
75
📚 New Special Issue reprint edited by Jingzhe Wang, Zhongwen Hu, Yangyi Wu and Jie Zhang:
🔗 Link to this Special Issue entitled "Remote Sensing of Watershed":
📢 Welcome to read!
0
16
77
#mostdownloaded
📢Impact of High-Cadence
#EarthObservation
in Maize Crop Phenology Classification by Luciana Nieto, Rasmus Houborg, Ariel Zajdband, Arin Jumpasut, P. V. Vara Prasad, Brad J. S. C. Olson and Ignacio A. Ciampitti
👉Read the full article:
0
23
76
#MostCited
🌳Quantifying Temperate
#Forest
Diversity by Integrating GEDI
#LiDAR
and Multi-Temporal
#Sentinel
-2 Imagery
by Chunying Ren, Hailing Jiang, Yanbiao Xi, Pan Liu and Huiying Li
#vegetation
0
18
76
#mostcited
🌍 Google Earth Engine: A Global Analysis and Future Trends
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➡️
#GoogleEarthEngine
#GEE
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17
75
#mostcited
📢A Systematic Review of
#Landsat
Data for
#ChangeDetection
Applications: 50 Years of Monitoring the Earth by MohammadAli Hemati, Mahdi Hasanlou, Masoud Mahdianpari and Fariba Mohammadimanesh
👉Read the full article:
0
24
75
#mostcited
🛰Using Remote Sensing to Quantify the Joint Effects of Climate and Land Use/Land Cover Changes on the Caatinga Biome of Northeast Brazilian
by Alexandre M. da Rosa F.J., George do Nasc. A.J., Marcos Vinícius da S., et al.
#LandUse
#LandCover
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#mostcited
📢Measurement of
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Parameters with Apple iPad Pro and Integrated
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Technology by Christoph Gollob, Tim Ritter, Ralf Kraßnitzer, Andreas Tockner and Arne Nothdurft
👉 Read the full article:
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#mostcited
🏞️ Random Forest Classification of Land Use, Land-Use Change and Forestry (LULUCF) Using Sentinel-2 Data—A Case Study of Czechia
by Jan Svoboda, Přemysl Štych, et al.
➡️
#LandUse
#LandChange
#RandomForest
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#remotesensing
#books
MDPI Books
📚 Title: Remote Sensing of Watershed
🔗Download here:
✒Edited by Jingzhe Wang, Zhongwen Hu, Yangyi Wu and Jie Zhang
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🏞️Remote Sensing of Surface Water Dynamics in the Context of Global Change—A Review
by Patrick Sogno, et al.
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#mostcited
📢Deformation Monitoring and Trend Analysis of Reservoir Bank
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and Hurst Index by Xingchen Zhang, Lixia Chen and Chao Zhou
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#MostCited
🍃Using
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Imaging to Measure
#Canopy
Height of Diverse Cover
#Crops
and Predict
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#notablepaper
⛰
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Reconnaissance: Joint Characterization of the Spectral Mixture Residual Delineates
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Unit Boundaries in the White Mountains, CA
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📢Spatial Heterogeneity and Temporal Variation in Urban
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Detected by
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#Satellite
Data
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#remotesensing
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MDPI Books
📚 Title: Monitoring Forest Carbon Sequestration with Remote Sensing
🔗Download here:
✒Edited by Huaqiang Du, Wenyi Fan, Mingshi Li, Weiliang Fan and Fangjie Mao
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#altmetric
#remotesensing
📢Assessing the Magnitude of the Amazonian
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Blowdowns and Post-Disturbance Recovery Using
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🌿 Assessing the Yield of Wheat Using Satellite Remote Sensing-Based Machine Learning Algorithms and Simulation Modeling
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Techniques for
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📢Cloud-Free Global Maps of Essential Vegetation Traits Processed from the TOA
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Content at Moderate Resolution: A Multiscale Analysis with the
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OLCI Sensor
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#ConvolutionalNeuralNetwork
-Based
#DeepLearning
#RemoteSensing
Studies—Part 2: Recommendations and Best Practices by Aaron E. Maxwell, Timothy A. Warner and Luis Andrés Guillén
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#UAV
#PointClouds
by Juan Pedro Carbonell-Rivera, Jesús Torralba, Javier Estornell, Luis Ángel Ruiz and Pablo Crespo-Peremarch
👉 Read the full article:
2
15
68
#notablepaper
🌾Modelling Two Sugarcane Agro-Industrial Yields Using
#Sentinel
/
#Landsat
#TimeSeries
Data and Their Spatial Validation at Different Scales in Costa Rica by Bryan Alemán-Montes et al
#agriculture
#vegetation
0
16
70
📢
#DigitalElevationModels
: Terminology and Definitions by Peter L. Guth, Adriaan Van Niekerk, Carlos H. Grohmann, Jan-Peter Muller, Laurence Hawker, Igor V. Florinsky, Dean Gesch, Hannes I. Reuter et al.
👉Read the full article:
0
13
69
#MostDownloaded
📢AiTLAS: Artificial Intelligence Toolbox for
#EarthObservation
by Ivica Dimitrovski, Ivan Kitanovski, Panče Panov, Ana Kostovska, Nikola Simidjievski and Dragi Kocev
#ArtificialIntelligence
0
19
69
#remotesensing
#books
MDPI Books
📚 Title: Remote Sensing of Land Surface Phenology
🔗Download here:
✒Edited by Xuanlong Ma, Jiaxin Jin, Xiaolin Zhu,
Yuke Zhou and Qiaoyun Xie
0
28
68
#mostdownloaded
📢ELULC-10, a 10 m European
#LandUse
and
#LandCover
Map Using
#Sentinel
and
#Landsat
Data in
#GoogleEarthEngine
by S. Mohammad Mirmazloumi, Mohammad Kakooei, Farzane Mohseni, Arsalan Ghorbanian, Meisam Amani et al
👉Read the full article:
0
16
68
#remotesensing
🌲Assessing the Performance of a Handheld
#LaserScanning
System for Individual
#Tree
Mapping—A Mixed Forests Showcase in Spain by Frederico Tupinambá-Simões, Adrián Pascual, Juan Guerra-Hernández, Cristóbal Ordóñez et al
#forest
1
11
69
#notablepaper
📢Spectral Characteristics of the Dynamic World
#LandCoverClassification
by Christopher Small and Daniel Sousa
#Biogeosciences
0
19
68
#mostcited
🗺 A Machine Learning Approach for Mapping
#ChlorophyllFluorescence
at Inland
#Wetlands
by Maciej Bartold and Marcin Kluczek
#ecology
0
19
68
#mostcited
🌊Continuously Updated Digital Elevation Models (
#CUDEMs
) to Support
#Coastal
Inundation Modeling
by Christopher J. Amante, Matthew Love, Kelly Carignan, Michael G. Sutherland, Michael MacFerrin and Elliot Lim
#Marine
1
16
68
#editorchoice
📢 Global
#Mangrove
Extent Change 1996–2020:
#GlobalMangroveWatch
Version 3.0 by Pete Bunting, Ake Rosenqvist, Lammert Hilarides, Richard M. Lucas, Nathan Thomas, Takeo Tadono, Thomas A. Worthington, Mark Spalding et al.
👉
0
23
67
#MostCited
#remotesensing
#Photogrammetry
Using
#UAV
-Mounted
#GNSS
RTK: Georeferencing Strategies without GCPs by Martin Štroner, Rudolf Urban, Jan Seidl, Tomáš Reindl and Josef Brouček
🔗
0
16
66