A COMPARISON OF MACHINE LEARNING MODELS FOR SOIL SALINITY ESTIMATION USING MULTI-SPECTRAL EARTH OBSERVATION DATA

Zarei, A.; Hasanlou, M.; Mahdianpari, M.

doi:https://doi.org/10.5194/isprs-annals-V-3-2021-257-2021

Articles | Volume V-3-2021

Article
Metrics
Related articles

Articles | Volume V-3-2021

https://doi.org/10.5194/isprs-annals-V-3-2021-257-2021

Articles | Volume V-3-2021

Article
Metrics
Related articles

17 Jun 2021

| 17 Jun 2021

A COMPARISON OF MACHINE LEARNING MODELS FOR SOIL SALINITY ESTIMATION USING MULTI-SPECTRAL EARTH OBSERVATION DATA

A. Zarei, M. Hasanlou, and M. Mahdianpari

A. Zarei

https://orcid.org/0000-0002-9763-7440

School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran

M. Hasanlou

https://orcid.org/0000-0002-7254-4475

School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran

M. Mahdianpari

C-CORE and Department of Electrical and Computer Engineering, Memorial University of Newfoundland, Newfoundland, Canada

Related authors

Show only first author papers Show all papers

WHEAT BIOMASS ESTIMATION FROM UAV IMAGERY USING AN ENSEMBLE LEARNING APPROACH WITH BAYESIAN OPTIMIZATION

F. Moradi, A. Zarei, S. Ranjbar, and S. Homayouni

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 515–522, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-515-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-515-2023, 2023

EFFICIENCY OF MACHINE LEARNING ALGORITHMS IN SOIL SALINITY DETECTION USING LANDSAT-8 OLI IMAGERY

S. Alamdar, F. Ghazban, and A. Zarei

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 49–55, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-49-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-49-2023, 2023

HYPERSPECTRAL IMAGE CLASSIFICATION USING MULTI-LAYER PERCEPTRON MIXER (MLP-MIXER)

A. Jamali, M. Mahdianpari, and A. Abdul Rahman

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W6-2022, 179–182, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-179-2023,https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-179-2023, 2023

WHEAT BIOMASS ESTIMATION FROM UAV IMAGERY USING AN ENSEMBLE LEARNING APPROACH WITH BAYESIAN OPTIMIZATION

F. Moradi, A. Zarei, S. Ranjbar, and S. Homayouni

FULL POLARIMETRIC TIME SERIES IMAGE ANALYSIS FOR CROP TYPE MAPPING

H. Noroozi and M. Hasanlou

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 603–608, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-603-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-603-2023, 2023

SHORELINE EXTRACTION USING TIME SERIES OF SENTINEL-2 SATELLITE IMAGES BY GOOGLE EARTH ENGINE PLATFORM

E. Rostami, M. A. Sharifi, and M. Hasanlou

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 653–659, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-653-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-653-2023, 2023

AUTOMATIC ROAD CRACK RECOGNITION BASED ON DEEP LEARNING NETWORKS FROM UAV IMAGERY

F. Samadzadegan, F. Dadrass Javan, M. Hasanlou, M. Gholamshahi, and F. Ashtari Mahini

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 685–690, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-685-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-685-2023, 2023

A COMPARISON OF TREE-BASED REGRESSION MODELS FOR SOIL MOISTURE ESTIMATION USING SAR DATA

Z. Akhavan, M. Hasanlou, and M. Hosseini

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 37–42, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-37-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-37-2023, 2023

EFFICIENCY OF MACHINE LEARNING ALGORITHMS IN SOIL SALINITY DETECTION USING LANDSAT-8 OLI IMAGERY

S. Alamdar, F. Ghazban, and A. Zarei

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 49–55, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-49-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-49-2023, 2023

A COMPARATIVE STUDY OF MACHINE LEARNING CLASSIFIERS FOR CROP TYPE MAPPING USING VEGETATION INDICES

S. Asgari and M. Hasanlou

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 79–85, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-79-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-79-2023, 2023

RAPID AUTOMATIC DETECTION OF COVID-19 IN CHEST CT IMAGES USING VGG-16 AND TRANSFER LEARNING

M. Gomroki, R. Shah-Hosseini, and M. Hasanlou

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W2-2022, 39–44, https://doi.org/10.5194/isprs-archives-XLVIII-4-W2-2022-39-2023,https://doi.org/10.5194/isprs-archives-XLVIII-4-W2-2022-39-2023, 2023

A COMPARATIVE ANALYSIS OF PIXEL-BASED AND OBJECT-BASED APPROACHES FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING RANDOM FOREST MODEL

H. Tamiminia, B. Salehi, M. Mahdianpari, C. M. Beier, and L. Johnson

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-2-2022, 191–196, https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-191-2022,https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-191-2022, 2022

THE IMPORTANCE OF SEASONAL TEXTURAL FEATURES FOR OBJECT-BASED CLASSIFICATION OF WETLANDS: NEW YORK STATE CASE STUDY

S. Adeli, L. J. Quackenbush, B. Salehi, and M. Mahdianpari

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 471–477, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-471-2022,https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-471-2022, 2022

META-LEARNING FOR WETLAND CLASSIFICATION USING A COMBINATION OF SENTINEL-1 AND SENTINEL-2 IMAGERY

H. Jafarzadeh, M. Mahdianpari, and E. Gill

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 47–52, https://doi.org/10.5194/isprs-annals-V-3-2022-47-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-47-2022, 2022

STATE-WIDE WETLAND INVENTORY MAP OF MINNESOTA USING MULTI-SOURCE AND MULTI-TEMPORALREMOTE SENSING DATA

V. Igwe, B. Salehi, and M. Mahdianpari

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 411–416, https://doi.org/10.5194/isprs-annals-V-3-2022-411-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-411-2022, 2022

EVALUATING PIXEL-BASED AND OBJECT-BASED APPROACHES FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF OPTICAL, SAR, AND AN EXTREME GRADIENT BOOSTING MODEL

H. Tamiminia, B. Salehi, M. Mahdianpari, C. M. Beier, and L. Johnson

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 485–492, https://doi.org/10.5194/isprs-annals-V-3-2022-485-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-485-2022, 2022

A COMPARISON OF TREE-BASED ALGORITHMS FOR COMPLEX WETLAND CLASSIFICATION USING THE GOOGLE EARTH ENGINE

A. Jamali, M. Mahdianpari, and İ. R. Karaş

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W5-2021, 313–319, https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-313-2021,https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-313-2021, 2021

A COMPARISON OF RANDOM FOREST AND LIGHT GRADIENT BOOSTING MACHINE FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF LANDSAT, ALOS PALSAR, AND AIRBORNE LIDAR DATA

H. Tamiminia, B. Salehi, M. Mahdianpari, C. M. Beier, L. Johnson, and D. B. Phoenix

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-M-3-2021, 163–168, https://doi.org/10.5194/isprs-archives-XLIV-M-3-2021-163-2021,https://doi.org/10.5194/isprs-archives-XLIV-M-3-2021-163-2021, 2021

TOWARD A MULTI-SOURCE REMOTE SENSING WETLAND INVENTORY OF THE USA: PRELIMINARY RESULTS ON WETLAND INVENTORY OF MINNESOTA

S. Adeli, B. Salehi, M. Mahidanpari, and L. J. Quackenbush

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 97–100, https://doi.org/10.5194/isprs-annals-V-3-2021-97-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-97-2021, 2021

A COMPARISON OF DECISION TREE-BASED MODELS FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF AIRBORNE LIDAR AND LANDSAT DATA

H. Tamiminia, B. Salehi, M. Mahdianpari, C. M. Beier, L. Johnson, and D. B. Phoenix

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 235–241, https://doi.org/10.5194/isprs-annals-V-3-2021-235-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-235-2021, 2021

WATER QUALITY MONITORING OVER FINGER LAKES REGION USING SENTINEL-2 IMAGERY ON GOOGLE EARTH ENGINE CLOUD COMPUTING PLATFORM

R. M. Khan, B. Salehi, M. Mahdianpari, and F. Mohammadimanesh

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 279–283, https://doi.org/10.5194/isprs-annals-V-3-2021-279-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-279-2021, 2021

BINARY HYPERSPECTRAL CHANGE DETECTION BASED ON 3D CONVOLUTION DEEP LEARNING

S. T. Seydi and M. Hasanlou

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1629–1633, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1629-2020,https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1629-2020, 2020

RICE CROP MAPPING USING SENTINEL-1 TIME SERIES IMAGES (CASE STUDY: MAZANDARAN, IRAN)

M. Saadat, M. Hasanlou, and S. Homayouni

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 897–904, https://doi.org/10.5194/isprs-archives-XLII-4-W18-897-2019,https://doi.org/10.5194/isprs-archives-XLII-4-W18-897-2019, 2019

CLASSIFIER FUSION OF POLSAR, HYPERSPECTRAL AND PAN REMOTE SENSING DATA FOR IMPROVING LAND USE CLASSIFICATION

R. Saadi, M. Hasanlou, and A. Safari

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 913–916, https://doi.org/10.5194/isprs-archives-XLII-4-W18-913-2019,https://doi.org/10.5194/isprs-archives-XLII-4-W18-913-2019, 2019

INVESTIGATING OF FOREST CHANGE IN GOLESTAN PROVINCE USING LANDSAT IMAGE

M. Zoraghi, R. Saadi, and M. Hasanlou

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 1159–1162, https://doi.org/10.5194/isprs-archives-XLII-4-W18-1159-2019,https://doi.org/10.5194/isprs-archives-XLII-4-W18-1159-2019, 2019

ESTIMATING WATER LEVEL IN THE URMIA LAKE USING SATELLITE DATA: A MACHINE LEARNING APPROACH

M. Boueshagh and M. Hasanlou

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 219–226, https://doi.org/10.5194/isprs-archives-XLII-4-W18-219-2019,https://doi.org/10.5194/isprs-archives-XLII-4-W18-219-2019, 2019

BUILDING FLOOR PLAN RECONSTRUCTION FROM SLAM-BASED POINT CLOUD USING RANSAC ALGORITHM

M. Hossein Pouraghdam, M. Saadatseresht, H. Rastiveis, A. Abzal, and M. Hasanlou

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 483–488, https://doi.org/10.5194/isprs-archives-XLII-4-W18-483-2019,https://doi.org/10.5194/isprs-archives-XLII-4-W18-483-2019, 2019

ASSESSING AND COMPARING THE PERFORMANCE OF ENDMEMBER EXTRACTION METHODS IN MULTIPLE CHANGE DETECTION USING HYPERSPECTRAL DATA

H. Jafarzadeh and M. Hasanlou

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 571–575, https://doi.org/10.5194/isprs-archives-XLII-4-W18-571-2019,https://doi.org/10.5194/isprs-archives-XLII-4-W18-571-2019, 2019

HARMFUL ALGAL BLOOMS MONITORING USING SENTINEL-2 SATELLITE IMAGES

M. H. Khalili and M. Hasanlou

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 609–613, https://doi.org/10.5194/isprs-archives-XLII-4-W18-609-2019,https://doi.org/10.5194/isprs-archives-XLII-4-W18-609-2019, 2019

INSAR TIME SERIES INVESTIGATION OF LAND SURFACE DEFORMATION IN AZAR OIL FIELD

Z. Mirzaii, M. Hasanlou, S. Samieie-Esfahany, M. Rojhani, and P. Ajourlou

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 733–736, https://doi.org/10.5194/isprs-archives-XLII-4-W18-733-2019,https://doi.org/10.5194/isprs-archives-XLII-4-W18-733-2019, 2019

AIR POLLUTION ESTIMATION USING AEROSOL OPTICAL THICKNESS BY OLI IMAGES IN TEHRAN

S. M. Mozafari, M. Hasanlou, and H. Arefi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 779–782, https://doi.org/10.5194/isprs-archives-XLII-4-W18-779-2019,https://doi.org/10.5194/isprs-archives-XLII-4-W18-779-2019, 2019

LAND COVER CHANGES DETECTION IN POLARIMETRIC SAR DATA USING ALGEBRA, SIMILARITY AND DISTANCE BASED METHODS

A. Najafi, M. Hasanlou, and V. Akbari

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 195–200, https://doi.org/10.5194/isprs-archives-XLII-4-W4-195-2017,https://doi.org/10.5194/isprs-archives-XLII-4-W4-195-2017, 2017

SPATIAL AND TEMPORAL ANALYSIS OF SEA SURFACE SALINITY USING SATELLITE IMAGERY IN GULF OF MEXICO

S. Rajabi, M. Hasanlou, and A. R. Safari

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 219–223, https://doi.org/10.5194/isprs-archives-XLII-4-W4-219-2017,https://doi.org/10.5194/isprs-archives-XLII-4-W4-219-2017, 2017

TREND ANALYSIS OF SOIL SALINITY IN DIFFERENT LAND COVER TYPES USING LANDSAT TIME SERIES DATA (CASE STUDY BAKHTEGAN SALT LAKE)

M. M. Taghadosi and M. Hasanlou

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 251–257, https://doi.org/10.5194/isprs-archives-XLII-4-W4-251-2017,https://doi.org/10.5194/isprs-archives-XLII-4-W4-251-2017, 2017

WIND WAVE NUMERICAL MODELING IN THE CASPIAN SEA

R. Mahmoodi, A. A. Ardalan, and M. Hasanlou

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 513–516, https://doi.org/10.5194/isprs-archives-XLII-4-W4-513-2017,https://doi.org/10.5194/isprs-archives-XLII-4-W4-513-2017, 2017

INVESTIGATING AND MODELLING EFFECTS OF CLIMATICALLY AND HYDROLOGICALLY INDICATORS ON THE URMIA LAKE COASTLINE CHANGES USING TIME SERIES ANALYSIS

M. Ahmadijamal and M. Hasanlou

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 5–9, https://doi.org/10.5194/isprs-archives-XLII-4-W4-5-2017,https://doi.org/10.5194/isprs-archives-XLII-4-W4-5-2017, 2017

THERMAL AND VISIBLE SATELLITE IMAGE FUSION USING WAVELET IN REMOTE SENSING AND SATELLITE IMAGE PROCESSING

A. H. Ahrari, M. Kiavarz, M. Hasanlou, and M. Marofi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 11–15, https://doi.org/10.5194/isprs-archives-XLII-4-W4-11-2017,https://doi.org/10.5194/isprs-archives-XLII-4-W4-11-2017, 2017

ESTIMATING SOIL MOISTURE USING POLSAR DATA: A MACHINE LEARNING APPROACH

E. Khedri, M. Hasanlou, and A. Tabatabaeenejad

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 133–137, https://doi.org/10.5194/isprs-archives-XLII-4-W4-133-2017,https://doi.org/10.5194/isprs-archives-XLII-4-W4-133-2017, 2017

FEASIBILITY STUDY OF LANDSAT-8 IMAGERY FOR RETRIEVING SEA SURFACE TEMPERATURE (CASE STUDY PERSIAN GULF)

F. Bayat and M. Hasanlou

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1107–1110, https://doi.org/10.5194/isprs-archives-XLI-B8-1107-2016,https://doi.org/10.5194/isprs-archives-XLI-B8-1107-2016, 2016

OCEAN COLOR RETRIEVAL USING LANDSAT-8 IMAGERY IN COASTAL CASE 2 WATERS (CASE STUDY PERSIAN AND OMAN GULF)

N. Moradi, M. Hasanlou, and M. Saadatseresht

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1161–1164, https://doi.org/10.5194/isprs-archives-XLI-B8-1161-2016,https://doi.org/10.5194/isprs-archives-XLI-B8-1161-2016, 2016

NOVEL SNOW DEPTH RETRIEVAL METHOD USING TIME SERIES SSMI PASSIVE MICROWAVE IMAGERY

Z. Nikraftar, M. Hasanlou, and M. Esmaeilzadeh

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 525–530, https://doi.org/10.5194/isprs-archives-XLI-B8-525-2016,https://doi.org/10.5194/isprs-archives-XLI-B8-525-2016, 2016

A COMPARISON OF MACHINE LEARNING MODELS FOR SOIL SALINITY ESTIMATION USING MULTI-SPECTRAL EARTH OBSERVATION DATA

Related authors

Useful Links

Useful External Links

Our Contact