Hello again! My name is Mariko Burgin, and I am the IEEE Geoscience and Remote Sensing Society (GRSS) president. You can always reach me at president@grss-ieee.org.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Historical land cover (LC) maps are significant geospatial data sources used to understand past land characteristics and accurately determine the long-term land changes that provide valuable insights into the interactions between human activities and the environment over time. This article introduces a novel open LC benchmark dataset generated from very high spatial resolution historical Hexagon (KH-9)

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

This issue of the magazine is very much connected to the recent IGARSS 2024 conference that was held in Athens in July. The Geoscience and Remote Sensing Society (GRSS) “President’s Message” [A1] and many of the columns describe activities that have been implemented or showcased during that event, which is the main one for our community.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Presents reviews for the following list of books, Computer Processing of Remotely-Sensed Images.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Federated learning (FL) enables the collaboration of multiple deep learning (DL) models to learn from decentralized data archives (i.e., clients) without accessing data on the clients. Although FL offers ample opportunities in knowledge discovery from distributed image archives, it is seldom considered in remote sensing (RS). In this article, for the first time in RS, we present a comparative study

Nitrogen dioxide (NO 2 ) is one among several constituents of air pollution. To restrict its surface-level concentration to within the limits prescribed by regulatory authorities, dedicated monitoring of its spatiotemporal spread is needed. Satellite-based remote sensing of the tropospheric composition can be used to estimate NO 2 concentration. However, this is not a direct measurement of the surface-level

In recent years, the application of deep learning (DL) has revolutionized remote sensing (RS) image analysis, allowing for the extraction of high-level features, and addressing complex tasks. However, the success of DL models relies heavily on the availability of labeled data, and acquiring labeled samples in the RS domain can be particularly challenging due to factors such as cost, time, and the dynamic

Earth observation (EO) satellite missions have been providing detailed images about the state of Earth and its land cover for over 50 years. Long-term missions, such as those of NASA’s Landsat, Terra, and Aqua satellites, and more recently, the European Space Agency’s (ESA’s) Sentinel missions, record images of the entire world every few days. Although single images provide point-in-time data, repeated

Enhancing agricultural methods through the utilization of Earth observation and artificial intelligence (AI) has emerged as a significant concern. The ability to quantify soil parameters on a large scale can play a pivotal role in optimizing the fertilization process. While techniques for noninvasive estimation of soil parameters from hyperspectral images (HSIs) exist, their validation typically occurs

Welcome to the IEEE Geoscience and Remote Sensing Society (GRSS) in 2024! I am delighted to serve one more year as the GRSS president and hope we can accomplish great things together. I welcome your thoughts at president@grss-ieee.org, so don’t hesitate to reach out, even just to say hello.

A carbon nanotube (CNT) has been used as electronic materials for functional electronic devices such as transistors, transparent electrodes, sensors, and Joule heating devices owing to their unique properties and high aspect ratios. However, the CNT network is randomly aligned on sheets fabricated by the spreading of a CNT suspension. In order to fabricate directional CNT network, we demonstrate the

On 17–21 July 2023, more than 3,000 engineers, geoscientists, and remote sensing enthusiasts from around the world congregated in Pasadena, California, for the 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). The Inspire, Develop, Empower, and Advance (IDEA) Committee led a series of impactful events throughout the week-long conference, centering on themes of driving transformation

A carbon nanotube (CNT) has been used as electronic materials for functional electronic devices such as transistors, transparent electrodes, sensors, and Joule heating devices owing to their unique properties and high aspect ratios. However, the CNT network is randomly aligned on sheets fabricated by the spreading of a CNT suspension. In order to fabricate directional CNT network, we demonstrate the

A carbon nanotube (CNT) has been used as electronic materials for functional electronic devices such as transistors, transparent electrodes, sensors, and Joule heating devices owing to their unique properties and high aspect ratios. However, the CNT network is randomly aligned on sheets fabricated by the spreading of a CNT suspension. In order to fabricate directional CNT network, we demonstrate the

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

The book SAR Image Analysis—A Computational Statistics Approach: With R Code, Data, and Applications stands out as an exceptional resource dedicated to statistical methodologies to extract information from synthetic aperture radar (SAR) imagery, all within a computational framework using R programming language. The book covers a wide range of topics in 183 pages and seven chapters, including a detailed

Let me start this editorial by announcing that I am stepping down from my position of editor-in-chief (EIC) of IEEE Geoscience and Remote Sensing Magazine (GRSM) soon. I will provide a short summary of my term in the “From the Editor” column in the next (and my last) GRSM issue. Today, I simply want to highlight that the search for a new EIC is underway, and all the details are available on the webpage

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Shallow aquifers are the largest freshwater bodies in the North African Sahara and the Arabian Peninsula. Their groundwater dynamics and response to climatic variability and anthropogenic discharge remain largely unquantified due to the absence of large-scale monitoring methods. Currently, the assessment of groundwater dynamics in these aquifer systems is made primarily from sporadic well logs that

Urban studies require a rich set of information sources and techniques that enable a comprehensive depiction of urban environments. Remote sensing captures physical characteristics of urban landscapes, while social sensing collects data from social media and digital devices to reflect human activities. The combination of remote sensing and social sensing has been employed to investigate urban environments