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Welcome to the June 2022 issue of IEEE Geoscience and Remote Sensing Magazine (GRSM)! Our theme for this issue is “Building Upon a Legacy of Remote Sensing to Advance Our Future.” Supporting this theme, the 12 features in this issue cover instruments and techniques that build upon the long heritage of societal benefits from remote sensing as well as introduce some new and innovative ideas taking the

On behalf of the IEEE Geoscience and Remote Sensing Society (GRSS), I would like to invite you to participate in IGARSS 2022, our annual International Geoscience and Remote Sensing Symposium. This year’s symposium will be held in Kuala Lumpur, Malaysia, from 17 to 22 July using a hybrid conference format. The theme for this year’s meeting will focus on “Preserving Our Heritage, Enabling Our Future

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In the fields of image restoration and image fusion, model- and data-driven methods are the two representative frameworks. However, both approaches have their respective advantages and disadvantages. Model-driven techniques consider the imaging mechanism, which is deterministic and theoretically reasonable; however, they cannot easily model complicated nonlinear problems. Data-driven schemes have a

The Surface Water Ocean Topography (SWOT) mission, jointly developed by NASA and French Space Agency (CNES) with contributions from the Canadian and U.K. space agencies, and planned for launch in 2022, is designed to provide a spatially distributed and high-frequency measurement of water elevation data for the hydrology and oceanography communities for the first time [1], [2]. By virtue of its novel

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In the past decades, remote sensing (RS) data fusion has always been an active research community. A large number of algorithms and models have been developed. Generative adversarial networks (GANs), as an important branch of deep learning, show promising performances in a variety of RS image fusions. This review provides an introduction to GANs for RS data fusion. We briefly review the frequently

Presents the front cover for this issue of the publication.

Presents the table of contents for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Welcome to the March 2022 issue of IEEE Geoscience and Remote Sensing Magazine ! Our theme for this issue is “Algorithms to Applications.” The 13 features cover the full breadth of the remote sensing field, from microwave to optical observations with ground, airborne, and satellite platforms. They are organized with a focus on algorithms in the first eight articles, followed by five that review interesting

Looking back to my last letter from 2021, I found that I spent most of it recapping 2021 events but not much time describing preparations for 2022. Therefore, this letter may be a continuation from December. First of all, I would like to welcome our new Administrative Committee (AdCom) members beginning three-year terms starting in 2022: Ronny Haensch, chair of the 2021 IEEE Geoscience and Remote Sensing

Data availability plays a central role in any machine learning setup, especially since the rise of deep learning. Although input data are often available in abundance, reference data used to train and evaluate corresponding approaches are usually scarce due to the high cost of obtaining them. Although this is not limited to remote sensing, it is of particular importance in Earth-observation applications

The IEEE Geoscience and Remote Sensing Society (GRSS) Universidad Distrital Francisco José de Caldas (Bogotá, Colombia) Student Chapter was founded in 2008, but its activities were intermittent. The Chapter was reactivated in 2016, after more than three years of cessation, with the direction of Eric Gutierrez (president) and Stiven Gomez (vice president) and under the advice of Erika Upegui. The GRSS

The Federal University of Mato Grosso do Sul (UFMS) IEEE Geoscience and Remote Sensing Society (GRSS) Student Branch Chapter, also known as MS GRSS IEEE Student Chapter, is located in Mato Grosso do Sul State, Brazil. The Chapter represents a partnership of students and researchers from two labs: the Geomatics Lab at UFMS and the Inovisão Lab at Catholic Dom Bosco University (UCDB). The advisors are

The IEEE Geoscience and Remote Sensing Society (GRSS) is encouraging the establishment of more African Chapters and more activities in Africa. This led to the initiation of a meeting of the local GRSS Cameroon Chapter, a community that is young and vibrant. On 19 August 2021, the local Cameroon Chapter organized its first webinar, “Achieving Success by Belonging” (see Figure 1 ). The objective of the

The IEEE Geoscience and Remote Sensing Society (GRSS) Turkey Chapter was established in 2012 to address the increasing number of researchers in the remote sensing field in both academia and industry, organize events and meetings for these researchers in Turkey, and provide a basis for establishing and improving collaboration and cooperation between industry, institutions, and universities in the fields

The IEEE Geoscience and Remote Sensing Society (GRSS) Brazil Chapter comprises 49 professionals and 57 student members, totaling 106 members in 2020. The following Chapter officers performed services during 2020

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Advances in unmanned aerial vehicle (UAV) technology have fostered its use in a wide range of areas, such as agriculture and forestry, surveillance and security, and infrastructure inspection. One of the advantages of UAVs is their ability to conduct remote inspection and sensing by placing different kinds of sensors on board them. In this sense, UAV-based ground-penetrating radar (GPR) systems are

Artificial intelligence (AI) plays a growing role in remote sensing (RS). Applications of AI, particularly machine learning algorithms, range from initial image processing to high-level data understanding and knowledge discovery. AI techniques have emerged as a powerful strategy for analyzing RS data and led to remarkable breakthroughs in all RS fields. Given this period of breathtaking evolution,

In recent years, supervised learning has been widely used in various tasks of optical remote sensing image (RSI) understanding, including RSI classification, pixel-wise segmentation, change detection, and object detection. The methods based on supervised learning need a large amount of high-quality training data, and their performance highly depends on the quality of the labels. However, in practical

The High-Performance and Disruptive Computing in Remote Sensing (HDCRS) Working Group (WG) was recently established under the IEEE Geoscience and Remote Sensing Society (GRSS) Earth Science Informatics (ESI) Technical Committee to connect a community of interdisciplinary researchers in remote sensing (RS) who specialize in advanced computing technologies, parallel programming models, and scalable algorithms

Compared with radar and visible light imaging, infrared imaging has its own unique advantages, and in recent years, it has become a topic of intense research interest. Robust small-target detection is one of the key techniques in infrared search and tracking (IRST) applications, and there is no doubt that it has become an investigatory hot spot. In real applications, targets and backgrounds usually

Welcome to the December 2021 Issue of IEEE Geoscience and Remote Sensing Magazine ! Our theme in this issue is “innovative methods for different modalities.” With this in mind, we have nine feature articles covering a variety of different processing and analysis techniques with applications across a range of remote sensing modalities.

In this last message of the year, I think it is important to summarize accomplishments of the Society in 2021 and describe our preparations for success in 2022. By the numbers, our Society continues to grow. We added two student branch Chapters in September with another one expected in November. When this one receives its final approval, the IEEE Geoscience and Remote Sensing Society (GRSS) community

As in previous years, the IEEE Geoscience and Remote Sensing Society (GRSS) Inspire, Develop, Empower, Advance (IDEA) Committee spent much of the spring getting prepared to host some exciting events at the International Geoscience and Remote Sensing Symposium (IGARSS). This year was no different, although uncertainty hung in the air as we awaited decisions on whether the largest annual GRSS event would

The Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS) has been organizing the annual Data Fusion Contest (DFC) since 2006. The contest promotes the development of methods for extracting geospatial information from large-scale, multisensor, multimodal, and multitemporal data. It aims to propose new problem settings that are challenging

Supported by the IEEE Geoscience and Remote Sensing Society (GRSS) High School and Undergrad Student Outreach Program (HSUSO), the educational chairs of the 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS 2021 developed a remote sensing school project targeting 16- and 17-year-old pupils in the third grade of secondary education in Flanders, Belgium. HSUSO was led by Dr. Linda

Thomas (Tom) C. von Deak passed away on 30 July 2021. He was a skilled electrical engineer working for NASA at the Glenn Research Center, Cleveland, Ohio, until his retirement, in 2018. Beginning in 2020, along with consulting for the National Oceanic and Atmospheric Administration (NOAA) on matters of frequency management, he became increasingly involved with the IEEE Geoscience and Remote Sensing

With a heavy heart, we announce that Dr. Gail Skofronick-Jackson, 58, of McLean, Virginia, died suddenly on 7 September 2021. Gail was deployed with a joint NASA–European Space Agency airborne campaign team in St. Croix, U.S. Virgin Islands. On a day off from the experiments, she perished in a tragic accident while hiking with colleagues.

A scatterometer, as an active microwave radar sensor, measures the return of radar waves in the form of a backscatter coefficient after reflection or scattering from Earth’s surface. The primary objective of the scatterometer is to record the surface-wind vector observations over the ocean for the study of the climate, monitoring, the forecasting of cyclones/hurricanes, and air–sea interactions. Since

The synergistic combination of deep learning (DL) models and Earth observation (EO) promises significant advances to support the Sustainable Development Goals (SDGs). New developments and a plethora of applications are already changing the way humanity will face the challenges of our planet. This article reviews current DL approaches for EO data, along with their applications toward monitoring and

Three-dimensional mapping is an increasingly important feature for recent photogrammetry and remote sensing (RS) systems. Currently, unmanned aerial vehicles (UAVs) have become one of the extensively used RS platforms due to their high timeliness and flexibility on data acquisition as well as their high spatial resolution of recorded images. UAV-based 3D mapping has overwhelming advantages over traditional

Remote sensing provides valuable information about objects and areas from a distance in either active (e.g., radar and lidar) or passive (e.g., multispectral and hyperspectral) modes. The quality of data acquired by remotely sensed imaging sensors (active and passive) is often degraded by a variety of noise types and artifacts. Image restoration, which is a vibrant field of research in the remote sensing

Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have recently become a hotspot across the fields of computer vision (CV) and remote sensing (RS). Inspired by the recent success of deep learning (DL), many advanced object detection and tracking approaches have been widely applied to various UAV-related tasks, such as environmental monitoring, precision agriculture,

Increased access to reliable data and computationally efficient systems has created more collaborative potential between remote sensing and machine learning for species habitat prediction. Exploiting the integrative opportunities will require a deeper understanding of methods remote sensing instruments use to capture biophysical variables and the extent that data science can model ecological relationships

This work presents an overview of the activity developed in the frame of a project funded by the European Space Agency (ESA). The research was focused on the study of the potential applications of GNSS Reflectometry (GNSS-R) over land, with an emphasis on soil moisture (SM) and biomass. A study about the sensitivity with respect to the freeze–thaw dynamics was considered as well. The work started with

On the seasonal timescale, for accessible locations and when manpower is available, direct observations and field surveys are the most useful and standard approaches. However very limited studies have been conducted through direct examination on decennial-to-century timescales due to observational constrains. Here, we present an open and reproducible pipeline based on historical aerial images (across

Air- and spaceborne synthetic aperture radar (SAR) can provide a large number of high-resolution images for microwave remote sensing applications, such as geoscience and climate change research, environmental Earth system monitoring, and precision agriculture. Unlike spaceborne SAR, the flight trajectory of airborne SAR may deviate from its ideal straight course due to the influence of atmospheric

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Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Welcome to the September 2021 issue of IEEE Geoscience and Remote Sensing Magazine ( GRSM )! We have a number of feature articles in this issue, covering topics ranging from a tutorial on synthetic aperture radar (SAR) beamforming, to a review of the Earth-observation constellation, to several articles on techniques for processing various types of remote sensing data. These will be followed by a report

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About this time, I expected to be returning from the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) that was to be held in Brussels, Belgium, with many stories about the trip and thinking about discussions I had with colleagues. However, once again, we found ourselves attending the conference online and, in many cases, recording presentations that originally were intended to be

Presents information on the GRSS society IGARSS 2021 Symposium.

Presents information on the GRSS echnical Committee on Image Analysis and Data Fusion.

Reports on GRSS society chapter activities and meetings.