|
23 Apr 2018
ESTIMATION OF MANGROVE FOREST ABOVEGROUND BIOMASS USING MULTISPECTRAL BANDS, VEGETATION INDICES AND BIOPHYSICAL VARIABLES DERIVED FROM OPTICAL SATELLITE IMAGERIES: RAPIDEYE, PLANETSCOPE AND SENTINEL-2
Alvin Balidoy Baloloy , Ariel Conferido Blanco , Christian Gumbao Candido , Reginal Jay Labadisos Argamosa , John Bart Lovern Caboboy Dumalag , Lady Lee Carandang Dimapilis , and Enrico Camero Paringit
Viewed
Total article views: 4,526 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,516
1,915
95
4,526
170
233
HTML: 2,516
PDF: 1,915
XML: 95
Total: 4,526
BibTeX: 170
EndNote: 233
Views and downloads (calculated since 23 Apr 2018)
Month
HTML
PDF
XML
Total
Apr 2018
7
6
1
14
May 2018
32
31
0
63
Jun 2018
14
25
1
40
Jul 2018
10
38
1
49
Aug 2018
9
14
1
24
Sep 2018
6
17
1
24
Oct 2018
9
22
2
33
Nov 2018
10
12
0
22
Dec 2018
9
11
0
20
Jan 2019
10
8
1
19
Feb 2019
7
11
0
18
Mar 2019
14
24
0
38
Apr 2019
13
21
0
34
May 2019
13
1
0
14
Jun 2019
11
14
0
25
Jul 2019
3
13
0
16
Aug 2019
16
18
1
35
Sep 2019
17
28
0
45
Oct 2019
24
37
0
61
Nov 2019
9
22
0
31
Dec 2019
10
10
0
20
Jan 2020
20
14
0
34
Feb 2020
13
14
0
27
Mar 2020
14
8
0
22
Apr 2020
17
10
0
27
May 2020
15
9
0
24
Jun 2020
14
9
0
23
Jul 2020
8
3
0
11
Aug 2020
4
6
3
13
Sep 2020
11
6
0
17
Oct 2020
10
15
0
25
Nov 2020
4
5
0
9
Dec 2020
15
9
0
24
Jan 2021
15
13
2
30
Feb 2021
18
10
0
28
Mar 2021
19
20
0
39
Apr 2021
11
20
0
31
May 2021
18
11
0
29
Jun 2021
17
15
0
32
Jul 2021
5
13
0
18
Aug 2021
12
10
1
23
Sep 2021
7
15
0
22
Oct 2021
13
28
0
41
Nov 2021
7
26
3
36
Dec 2021
9
12
0
21
Jan 2022
6
18
0
24
Feb 2022
11
12
1
24
Mar 2022
7
10
0
17
Apr 2022
6
15
0
21
May 2022
9
7
0
16
Jun 2022
15
7
1
23
Jul 2022
16
5
0
21
Aug 2022
11
5
0
16
Sep 2022
12
14
1
27
Oct 2022
7
7
0
14
Nov 2022
12
18
1
31
Dec 2022
14
14
0
28
Jan 2023
10
16
0
26
Feb 2023
22
15
0
37
Mar 2023
39
30
1
70
Apr 2023
32
24
0
56
May 2023
42
33
1
76
Jun 2023
24
25
0
49
Jul 2023
15
29
1
45
Aug 2023
30
21
0
51
Sep 2023
25
37
2
64
Oct 2023
25
50
1
76
Nov 2023
21
19
3
43
Dec 2023
44
23
3
70
Jan 2024
49
46
6
101
Feb 2024
29
26
3
58
Mar 2024
25
37
2
64
Apr 2024
45
51
4
100
May 2024
44
30
2
76
Jun 2024
54
30
5
89
Jul 2024
44
17
2
63
Aug 2024
48
32
0
80
Sep 2024
48
20
0
68
Oct 2024
51
16
0
67
Nov 2024
44
10
2
56
Dec 2024
41
23
1
65
Jan 2025
49
16
0
65
Feb 2025
60
21
1
82
Mar 2025
45
27
0
72
Apr 2025
33
13
2
48
May 2025
49
21
4
74
Jun 2025
67
21
0
88
Jul 2025
64
31
0
95
Aug 2025
50
15
0
65
Sep 2025
94
14
6
114
Oct 2025
62
36
0
98
Nov 2025
98
22
0
120
Dec 2025
70
55
3
128
Jan 2026
51
32
4
87
Feb 2026
57
26
6
89
Mar 2026
54
21
3
78
Apr 2026
87
68
5
160
Cumulative views and downloads
(calculated since 23 Apr 2018)
Month
HTML views
PDF downloads
XML downloads
Apr 2018
7
6
1
May 2018
39
37
1
Jun 2018
53
62
2
Jul 2018
63
100
3
Aug 2018
72
114
4
Sep 2018
78
131
5
Oct 2018
87
153
7
Nov 2018
97
165
7
Dec 2018
106
176
7
Jan 2019
116
184
8
Mar 2019
123
195
8
Mar 2019
137
219
8
Apr 2019
150
240
8
May 2019
163
241
8
Jun 2019
174
255
8
Jul 2019
177
268
8
Aug 2019
193
286
9
Sep 2019
210
314
9
Oct 2019
234
351
9
Nov 2019
243
373
9
Dec 2019
253
383
9
Jan 2020
273
397
9
Mar 2020
286
411
9
Mar 2020
300
419
9
Apr 2020
317
429
9
May 2020
332
438
9
Jun 2020
346
447
9
Jul 2020
354
450
9
Aug 2020
358
456
12
Sep 2020
369
462
12
Oct 2020
379
477
12
Nov 2020
383
482
12
Dec 2020
398
491
12
Jan 2021
413
504
14
Mar 2021
431
514
14
Mar 2021
450
534
14
Apr 2021
461
554
14
May 2021
479
565
14
Jun 2021
496
580
14
Jul 2021
501
593
14
Aug 2021
513
603
15
Sep 2021
520
618
15
Oct 2021
533
646
15
Nov 2021
540
672
18
Dec 2021
549
684
18
Jan 2022
555
702
18
Mar 2022
566
714
19
Mar 2022
573
724
19
Apr 2022
579
739
19
May 2022
588
746
19
Jun 2022
603
753
20
Jul 2022
619
758
20
Aug 2022
630
763
20
Sep 2022
642
777
21
Oct 2022
649
784
21
Nov 2022
661
802
22
Dec 2022
675
816
22
Jan 2023
685
832
22
Mar 2023
707
847
22
Mar 2023
746
877
23
Apr 2023
778
901
23
May 2023
820
934
24
Jun 2023
844
959
24
Jul 2023
859
988
25
Aug 2023
889
1,009
25
Sep 2023
914
1,046
27
Oct 2023
939
1,096
28
Nov 2023
960
1,115
31
Dec 2023
1,004
1,138
34
Jan 2024
1,053
1,184
40
Mar 2024
1,082
1,210
43
Mar 2024
1,107
1,247
45
Apr 2024
1,152
1,298
49
May 2024
1,196
1,328
51
Jun 2024
1,250
1,358
56
Jul 2024
1,294
1,375
58
Aug 2024
1,342
1,407
58
Sep 2024
1,390
1,427
58
Oct 2024
1,441
1,443
58
Nov 2024
1,485
1,453
60
Dec 2024
1,526
1,476
61
Jan 2025
1,575
1,492
61
Mar 2025
1,635
1,513
62
Mar 2025
1,680
1,540
62
Apr 2025
1,713
1,553
64
May 2025
1,762
1,574
68
Jun 2025
1,829
1,595
68
Jul 2025
1,893
1,626
68
Aug 2025
1,943
1,641
68
Sep 2025
2,037
1,655
74
Oct 2025
2,099
1,691
74
Nov 2025
2,197
1,713
74
Dec 2025
2,267
1,768
77
Jan 2026
2,318
1,800
81
Mar 2026
2,375
1,826
87
Mar 2026
2,429
1,847
90
Apr 2026
2,516
1,915
95
Viewed (geographical distribution)
Total article views: 4,321 (including HTML, PDF, and XML)
Thereof 4,309 with geography defined
and 12 with unknown origin.
Total:
0
HTML:
0
PDF:
0
XML:
0
Cited
64 citations as recorded by crossref.
Exploring the utility of remote sensing technology in vegetation below ground biomass (BGB) estimation: a critical review of methods and challenges
C. Dlamini et al.
Gray mold and anthracnose disease detection on strawberry leaves using hyperspectral imaging
B. Zhang et al.
Aboveground biomass estimation and mapping using Sentinel-2 data in a dry afromontane forest
B. Tetemke et al.
Use of Remotely Sensed Data to Enhance Estimation of Aboveground Biomass for the Dry Afromontane Forest in South-Central Ethiopia
H. Taddese et al.
Identifying Spatial Variation of Carbon Stock in a Warm Temperate Forest in Central Japan Using Sentinel-2 and Digital Elevation Model Data
H. Pei et al.
Accuracy and consistency of the machine learning models for predicting carbon stock in different carbon pools using satellite-based predictor variables
D. Bera et al.
Mapping the Above-Ground Biomass of Rhizophora apiculata plantation Forests Using PlanetScope Imagery in Thanh Phu Nature Reserve, Vietnam
. Kieu Manh Huong et al.
Application of a Multispectral UAS to Assess the Cover and Biomass of the Invasive Dune Species Carpobrotus edulis
M. Meyer et al.
Cropland Change Detection at High Spatial and Temporal Resolutions Based on Short-Term PlanetScope Image Series Using LSTM-FCN-CVAPS Model
S. Gao et al.
Multi-sensor decision tree machine learning algorithm for identifying mangrove ecosystem
I. Jaya et al.
Sentinel-1 Data for Winter Wheat Phenology Monitoring and Mapping
A. Nasrallah et al.
Hyperspectral Imaging Combined with Deep Learning for the Early Detection of Strawberry Leaf Gray Mold Disease
Y. Ou et al.
Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges
T. Pham et al.
Estimation of vegetation biophysical and biochemical parameters using satellite optical remote sensing: a review of methods, sensors and study areas
S. Hasti & M. Ghamary Asl
Strategies for detecting land-use change on the River Tea SCI ecological corridor via satellite images
M. García-Ontiyuelo et al.
Leveraging climate and remote sensing metrics for predicting forest carbon stock using Bayesian geostatistical modelling under a projected climate warming in Zimbabwe
T. Chinembiri et al.
Predicting the future through observations of the past: Concretizing the role of Geosimulation for holistic geospatial knowledge
I. Estacio et al.
Multiple methods reveal the carbon stock potential of young reforested mangroves in Quanzhou Bay Nature Reserve, China
Y. Shih et al.
Estimating Aboveground Biomass of Two Different Forest Types in Myanmar from Sentinel-2 Data with Machine Learning and Geostatistical Algorithms
P. Wai et al.
A Comprehensive Comparison of Machine Learning and Feature Selection Methods for Maize Biomass Estimation Using Sentinel-1 SAR, Sentinel-2 Vegetation Indices, and Biophysical Variables
C. Xu et al.
Remote sensing and deep learning-based detection of changes in aboveground carbon storage in young teak plantations (2019-2023): A case study in Pauk Khaung Township, West Bago Mountains, Myanmar
K. Win et al.
Estimation of aboveground biomass and carbon in palustrine wetland using bands and multispectral indices derived from optical satellite imageries PlanetScope and Sentinel-2A
T. Belloli et al.
BiomSHARP: Biomass Super-Resolution for High Accuracy Prediction
L. Albors et al.
Integrating Sentinel-1 and 2 with LiDAR data to estimate aboveground biomass of subtropical forests in northeast Guangdong, China
L. Zhang et al.
The Utility of Sentinel-2 Spectral Data in Quantifying Above-Ground Carbon Stock in an Urban Reforested Landscape
M. Mngadi et al.
UAV and satellite-based prediction of aboveground biomass in scots pine stands: a comparative analysis of regression and neural network approaches
H. Aksoy & A. Günlü
Detection and Mapping of Cover Crops Using Sentinel-1 SAR Remote Sensing Data
S. Najem et al.
Assessing above-ground biomass in reforested urban landscapes using machine learning and remotely sensed data
C. Matiza et al.
Assessing above ground biomass of Wunbaik Mangrove Forest in Myanmar using machine learning and remote sensing data
W. Maung et al.
Remote Monitoring of Crop Nitrogen Nutrition to Adjust Crop Models: A Review
L. Silva et al.
A modelling approach for Mangrove carbon dynamics using integrated optical and SAR data in Balikpapan Bay, Indonesia: algorithm development and accuracy enhancement
A. Suardana et al.
Estimation of the total dry aboveground biomass in the tropical forests of Congo Basin using optical, LiDAR, and radar data
P. Migolet et al.
Application of nanosatellites PlanetScope data to monitor crop growth
S. Kokhan et al.
Approaches, potential, and challenges in the use of remote sensing to study mangrove and other tropical wetland forests
D. Chávez et al.
Preliminary investigation into the feasibility of combining satellite and GPS data to identify pasture growth and grazing
S. Woodward et al.
Estimating Aboveground Biomass in Dense Hyrcanian Forests by the Use of Sentinel-2 Data
F. Moradi et al.
Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review
X. Li et al.
CO2Flux Model Assessment and Comparison between an Airborne Hyperspectral Sensor and Orbital Multispectral Imagery in Southern Amazonia
J. Della-Silva et al.
Satellite image processing of the Buxus hyrcana Pojark dieback in the Northern Forests of Iran
M. Ghavidel et al.
Estimation of Individual Tree Stem Biomass in an Uneven-Aged Structured Coniferous Forest Using Multispectral LiDAR Data
N. Georgopoulos et al.
Above ground biomass estimation in the upper Blue Nile basin forests, North-Western Ethiopia
H. Kerebeh et al.
Development of a Rapid Mangrove Zonation Mapping Workflow Using Sentinel 2-Derived Indices and Biophysical Dataset
A. Baloloy et al.
Generative Feature Extraction From Sentinel 1 and 2 Data for Prediction of Forest Aboveground Biomass in the Italian Alps
P. Naik et al.
Mangrove Resource Mapping Using Remote Sensing in the Philippines: A Systematic Review and Meta-Analysis
F. Pillodar et al.
Fusion of UAV-Acquired Visible Images and Multispectral Data by Applying Machine-Learning Methods in Crop Classification
Z. Zheng et al.
Mapping and Estimating Forest Stand Volume using Machine Learning Methods and Multi-Spectral Sentinel 2 Data
N. Matso et al.
Spatial patterns and driving factors of carbon stocks in mangrove forests on Hainan Island, China
Y. Meng et al.
Can biophysical parameters derived from Sentinel-2 space-borne sensor improve land cover characterisation in semi-arid regions?
B. Mudereri et al.
Estimating mangrove above-ground biomass at Maowei Sea, Beibu Gulf of China using machine learning algorithm with Sentinel-1 and Sentinel-2 data
Z. Huang et al.
Integration of satellite imagery and in situ soil moisture data for estimating irrigation water requirements
S. Ihuoma et al.
Canopy defoliation by leaf-cutting ants in eucalyptus plantations inferred by unsupervised machine learning applied to remote sensing
A. Santos et al.
Estimating coastal mangrove aboveground biomass of Zhejiang province based on sentinel-2 images and multiple machine learning algorithms
C. Peng et al.
Automated Machine Learning Driven Stacked Ensemble Modeling for Forest Aboveground Biomass Prediction Using Multitemporal Sentinel-2 Data
P. Naik et al.
Carbon Stock Prediction in Managed Forest Ecosystems Using Bayesian and Frequentist Geostatistical Techniques and New Generation Remote Sensing Metrics
T. Chinembiri et al.
Linking Terrestrial LiDAR Scanner and Conventional Forest Structure Measurements with Multi-Modal Satellite Data
K. Mulatu et al.
Climate Change‐Induced Landscape Alterations Increase Nutrient Sequestration and Cause Severe Oligotrophication of Subarctic Lakes
W. Goedkoop et al.
Cartographie du risque feu de forêt dans le Nord-est algérien : cas de la wilaya d’El Tarf
A. Arfa et al.
Saf Kızılçam (Pinus brutia Ten.) Meşcerelerinde Aktif ve Pasif Uydu Görüntüleri Kullanılarak Topraküstü Biyokütlenin Tahmin Edilmesi (Anamur Orman İşletme Şefliği Örneği)
İ. GÜVERÇİN & A. GÜNLÜ
Assessing Forest Species Diversity in Ghana’s Tropical Forest Using PlanetScope Data
E. Njomaba et al.
Comparison of Multi-Temporal PlanetScope Data with Landsat 8 and Sentinel-2 Data for Estimating Airborne LiDAR Derived Canopy Height in Temperate Forests
K. Shimizu et al.
Unraveling mangrove degradation in Jardines de la Reina National Park, Cuba: Integration of Landsat-8, machine learning and environmental factors
A. Valero-Jorge et al.
Estimation of Aboveground Carbon Using Different Remote Sensing Data and Modelling Techniques
H. Aksoy & A. Günlü
The use of remote sensing indices to understand flood‐recharged soil moisture impacts on trees in semi‐arid floodplains: A review
E. Pedzisai et al.
Estimation of above-ground biomass using machine learning approaches with InSAR and LiDAR data in tropical peat swamp forest of Brunei Darussalam
E. Zadbagher et al.
Latest update: 30 Apr 2026