Article
Environmental Sciences
Anton Pijl, Edoardo Quarella, Teun A. Vogel, Vincenzo D'Agostino, Paolo Tarolli
Summary: The degradation of agricultural terraces poses a significant challenge to soil and water conservation in steep-slope viticulture. This study compared a remote sensing approach with a field-based method to monitor hydrological processes responsible for terrace degradation. The field-based approach used spatially measured Soil Moisture Content to identify saturation hotspots around damaged terraces, while the remote sensing approach utilized aerial imagery for terrain-based analysis and erosion modeling. The comparison of these two methods provided insights into understanding terrace damages and the potential for scalable monitoring using topsoil moisture content as an indicator.
INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Zhaoxu Zhang, Wei Xu, Zhenwei Shi, Qiming Qin
Summary: The study focused on the complexity of drought occurrence and integrated multiple factors to create a Comprehensive Drought Monitoring Index (CDMI). It was found that CDMI had negative correlations with areas covered by drought and positive correlations with relative soil moisture and crop yield. The application of CDMI in Henan Province during the summer maize growing season proved its reliability for monitoring and assessing agricultural drought.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Review
Agronomy
Evangelia N. Tzanetou, Helen Karasali
Summary: Soil, as a central environmental compartment, is polluted by various contaminants primarily due to human activities. Among them, organochlorine pesticides (OCPs) are of major concern, even though they have been banned for decades due to their persistence and potential health effects. This review provides an overview of monitoring studies on OCPs in soils published in the past 30 years, as well as the development of analytical methods and extraction procedures for their determination. The findings confirm the contamination of soil by OCPs over the past several decades, highlighting the importance of considering soil pollution by OCPs in the characterization of overall soil quality, particularly given that a significant portion of global soils are marginally suitable for cultivation and related activities due to the presence of persistent organic contaminants.
Review
Environmental Sciences
Agniva Mandal, Atin Majumder, S. S. Dhaliwal, A. S. Toor, Pabitra Kumar Mani, R. K. Naresh, Raj K. Gupta, Tarik Mitran
Summary: This article aims to disseminate ideas about the current carbon status, identify research priorities, and discuss the pros and cons of agricultural management practices for better implementation of soil carbon sequestration strategies to mitigate the consequences of climate change.
CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2022)
Review
Environmental Sciences
Gordana Kaplan, Tatjana Rashid, Mateo Gasparovic, Andrea Pietrelli, Vincenzo Ferrara
Summary: This paper reviews the implementation of remote sensing in environmental monitoring of war activities and finds that wars have a significant impact on the global ecosystem, with major reasons being forest loss, oil spills, and urban growth. The findings indicate that remote sensing technology, especially middle-resolution satellite images, is extensively and successfully employed for environmental security monitoring.
LAND DEGRADATION & DEVELOPMENT
(2022)
Review
Environmental Sciences
Ghada Sahbeni, Maurice Ngabire, Peter K. Musyimi, Balazs Szekely
Summary: Meeting current needs without compromising future generations' ability to meet theirs is crucial for achieving environmental sustainability. Soil, as the most valuable natural resource, faces challenges such as quality degradation and salinization-induced mass losses globally. These issues impact agricultural productivity and ecological balance, undermining sustainability and food security. Therefore, remote sensing has enormous potential in mapping and monitoring soil salinization. However, large-scale estimation remains a challenge due to data resolution and acquisition costs.
Article
Environmental Sciences
Qiming Qin, Zihua Wu, Tianyuan Zhang, Vasit Sagan, Zhaoxu Zhang, Yao Zhang, Chengye Zhang, Huazhong Ren, Yuanheng Sun, Wei Xu, Cong Zhao
Summary: This paper discusses the use of optical and thermal remote sensing in agricultural drought monitoring, with a focus on four categories of methods and the potential of solar-induced chlorophyll fluorescence in early drought detection. Future directions in agricultural drought monitoring include improving early detection, enhancing spatio-temporal resolution, integrating multi-source data, and utilizing deep learning and cloud computing for smart prediction and assessment.
Review
Environmental Sciences
Zhaobin Wang, Yikun Ma, Yaonan Zhang, Jiali Shang
Summary: The paper provides a comprehensive review of the application of remote sensing technology in grassland monitoring and management. It discusses the estimation methods for various grassland parameters and reviews the applications of remote sensing monitoring, including grassland degradation, grassland use, disaster monitoring, and carbon cycle monitoring. The study suggests that advanced estimation methods and deep learning should be explored in future research.
Review
Environmental Sciences
Haidong Zhang, Lingqing Wang, Ting Tian, Jianghai Yin
Summary: Precision agriculture relies on rapid acquisition and analysis of agricultural information. Unmanned aerial vehicle low-altitude remote sensing (UAV-LARS) has significant advantages of high spatial-temporal resolution and strong mobility. UAV-LARS has great potential as a monitoring tool for agriculture, especially in China, where it has demonstrated historical and current applications.
Review
Environmental Sciences
Carlos Quemada, Jose M. Perez-Escudero, Ramon Gonzalo, Inigo Ederra, Luis G. Santesteban, Nazareth Torres, Juan Carlos Iriarte
Summary: This paper reviews various remote sensing techniques for monitoring plant water status, categorizing them based on the part of the plant being measured. The study presents the trends in published papers, the most common sensors used, and the water indicators identified. Overall, it highlights the significant correlation between estimated and measured data, providing valuable insights for irrigation management.
Article
Environmental Sciences
Claudia Maria Nascimento, Wanderson de Sousa Mendes, Nelida Elizabet Quinonez Silvero, Raill Roberto Poppiel, Veridiana Maria Sayao, Andre Carnieletto Dotto, Natasha Valadares dos Santos, Merilyn Taynara Accorsi Amorim, Jose A. M. Dematte
Summary: Research on soil degradation is crucial for environmental protection and land management. By combining satellite images with environmental information, a Soil Degradation Index (SDI) was developed to classify soil degradation levels into five groups, supporting decision-making on land use planning and management. Through comprehensive analysis of various factors, the study contributes significantly to understanding and addressing soil degradation issues.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Review
Green & Sustainable Science & Technology
Tian Zhang, Wanchang Zhang, Ruizhao Yang, Yimo Liu, Masoud Jafari
Summary: Carbon Dioxide (CO2) has been identified as a major contributor to global warming and the greenhouse effect, posing a serious threat to the well-being of the Earth and its inhabitants. Carbon capture and storage (CCS) has proven to be an effective method in reducing atmospheric CO2 levels, while remote sensing technology provides a cost-effective and efficient means of monitoring CO2 leakage in storage sites to ensure project safety and effectiveness.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Dashuai Wang, Wujing Cao, Fan Zhang, Zhuolin Li, Sheng Xu, Xinyu Wu
Summary: Population growth, climate change, and the COVID-19 pandemic have put significant pressure on global agricultural production. To address the challenge of increasing crop yield sustainably, researchers are exploring the use of autonomous systems, sensing technologies, and artificial intelligence. Deep learning has shown great potential in reshaping the agriculture industry, particularly in crop sensing and decision making.
Review
Environmental Sciences
Farzane Mohseni, Fatemeh Saba, S. Mohammad Mirmazloumi, Meisam Amani, Mehdi Mokhtarzade, Sadegh Jamali, Sahel Mahdavi
Summary: This paper reviews the application of remote sensing techniques in ocean water quality (OWQ) monitoring, introducing common OWQ parameters and monitoring techniques. The study finds that chlorophyll-a and colored dissolved organic matter are the dominant parameters for OWQ monitoring, and data from optical and passive microwave sensors are effective in estimating OWQ parameters.
MARINE ENVIRONMENTAL RESEARCH
(2022)
Review
Environmental Sciences
Abdallah Yussuf Ali Abdelmajeed, Mar Albert-Saiz, Anshu Rastogi, Radoslaw Juszczak
Summary: A systematic literature review reveals that only platform-as-a-service has been implemented for wetland monitoring through the integration of cloud computing and remote sensing. However, the current integration of these technologies is not sufficient to fully benefit from their potential. Despite this, economic benefits can still be achieved by implementing cloud computing and remote sensing for wetland monitoring.
Article
Geochemistry & Geophysics
Jisung Geba Chang, Maxim Shoshany, Yisok Oh
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2018)
Article
Geography, Physical
Fadi Kizel, Maxim Shoshany
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2018)
Article
Remote Sensing
Maxim Shoshany, Hanan Spond, Doron E. Bar
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2019)
Article
Environmental Sciences
Rachel Lugassi, Eli Zaady, Naftaly Goldshleger, Maxim Shoshany, Alexandra Chudnovsky
Article
Geography, Physical
Tarin Paz-Kagan, Jisung Geba Chang, Maxim Shoshany, Marcelo Sternberg, Arnon Karnieli
Summary: This study aimed to develop a comprehensive methodology based on spectral diversity for species distribution and richness mapping along Mediterranean to semi-arid climatic gradients, addressing knowledge gaps in woody species classification accuracy and local species richness estimation. Using an airborne hyperspectral image, machine learning classification achieved an overall accuracy of 86.1% for species distribution mapping. Feature extraction and selection techniques improved classification accuracy, demonstrating higher richness in natural Mediterranean shrubland and guarrigue located in the northern part of the climate gradient.
GISCIENCE & REMOTE SENSING
(2021)
Article
Environmental Sciences
Geba J. Chang, Yisok Oh, Naftaly Goldshleger, Maxim Shoshany
Summary: Biomass is an important parameter for monitoring agricultural and terrestrial ecosystems. Remote sensing techniques, such as the use of vegetation indices, have been employed due to the difficulties in field-scale measurements of biomass. The proposed red-edge ratio normalized difference vegetation index (RERNDVI) combines indices sensitive to varying levels of leaf area index (LAI) and offers improved estimation accuracy for biomass. The study demonstrates that RERNDVI outperforms other indices in terms of noise equivalence and can accurately estimate biomass for different crops and shrubs.
JOURNAL OF APPLIED REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Yisok Oh, Jisung Geba Chang, Maxim Shoshany
Summary: A new empirical model for microwave backscattering from vegetation fields at 5.4 GHz is proposed in this paper. The model was developed based on a modified radiative transfer model and a database of multi-polarized backscattering coefficients. The model was validated using the database itself, as well as independent Sentinel-1 SAR data and in situ measured ground-truth data.
JOURNAL OF ELECTROMAGNETIC ENGINEERING AND SCIENCE
(2022)
Article
Environmental Sciences
Maxim Shoshany, Elena Roitberg, Naftaly Goldshleger, Fadi Kizel
Summary: This article presents quantitative evidence for the fundamental spectral shape similarity between different soils using Pearson's correlation and SAM analysis. A universal quadratic soil line (UQSL) was found to fit representative signatures and spectra from the global soil database. Cluster analysis identified 5 characteristic deviation patterns, and significant correlation was found between changes in chemical properties and reflectance changes. This research has important implications for monitoring soil conditions on a wide scale.
REMOTE SENSING OF ENVIRONMENT
(2022)
Proceedings Paper
Geosciences, Multidisciplinary
Matan Cohen, Maxim Shoshany
Summary: Deep learning classification of nine typologies of desert-fringe natural vegetation was performed using DenseNet with six input layer types. The results showed that the F1-score accuracy of the RGB imagery was higher than 0.95 within 50 epochs. Combining red, red CDF, and red edge allowed better classification than RGB and showed a more stable increase in F1-scores with the increase in the number of epochs. These preliminary results suggest that simple image morphological pre-processing can improve deep learning classification performance.
2023 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE FOR GEOANALYTICS AND REMOTE SENSING, MIGARS
(2023)
Proceedings Paper
Geography, Physical
M. Braitbart, O. Almog, M. Shoshany
Summary: This article introduces a new remote sensing technique for mapping and monitoring land cover in Mediterranean environments using object-oriented classification and unsupervised classification, especially suitable for rural-urban fringe areas. Applying this method in typical rural areas, it was found that some land cover types achieved high classification accuracies, indicating the practicality of the method.
XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III
(2022)
Proceedings Paper
Geography, Physical
S. Mozhaeva, M. Shoshany
Summary: This study examines the relationship between vegetation patterns and climatic parameters using remote sensing in Central Israel. The results indicate that the best correlation between NDVI and climatic parameters is achieved with a two-month accumulation interval. Classification of multi-temporal NDVI and linear regressions between NDVI and rainfall and PET accurately classify water-use regime typologies in desert fringe ecosystems.
XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III
(2022)
Proceedings Paper
Geography, Physical
Geba Jisung Chang, Yisok Oh, Maxim Shoshany
Summary: This study investigates the use of multi-frequency SAR data for developing a biomass estimation model in Mediterranean ecosystems. The proposed MPRVI-based model shows good agreement with reference biomass data.
XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III
(2022)
Article
Engineering, Electrical & Electronic
Yisok Oh, Jisung Geba Chang, Maxim Shoshany
Summary: The first-order vector radiative transfer model (FVRTM) was modified to examine the effects of leaf curvature, higher-order multiple scattering, and underlying-surface roughness on radar backscattering from farming fields. The improved model was obtained by adjusting parameters related to these factors and its accuracy was verified through comparisons with measurement data sets.
JOURNAL OF ELECTROMAGNETIC ENGINEERING AND SCIENCE
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Ido Faran, Nathan S. Netanyahu, Eli (Omid) David, Ronit Rud, Maxim Shoshany
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
(2020)
Proceedings Paper
Geosciences, Multidisciplinary
Ido Faran, Nathan S. Netanyahu, Eli (Omid) David, Maxim Shoshany, Fadi Kizel, Jisung Geba Chang, Ronit Rud
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)
(2019)
