Presents the front cover for this issue of the publication.

Presents a call for nominations for the GRSS Administrative Committee.

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.

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Reports on the impact factor for this publication.

Recounts the career and contributions of David Landgrebe.

This index covers all technical items - papers, correspondence, reviews, etc. - that appeared in this periodical during the year, and items from previous years that were commented upon or corrected in this year. Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name

The advent of lidar has revolutionized the way we observe and measure vegetation structure from the ground and from above and represents a major advance toward the quantification of 3D ecological observations. Developments in lidar hardware systems and data processing algorithms have greatly improved the accessibility and ease of use of lidar observations in ecological studies. A wide range of studies

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Reports on the GRS society journals and their impact factors.

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.

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Presents the introductory editorial for this issue of the publication.

Presents the President’s message for this issue of the publication.

This article considers the tremendous potential for satellite remote sensing information delivered via mobile digital applications to improve decision making in emerging agricultural economies. Earth observations have been available for use in weather and other models to support decision making since the late 1970s, with the launch of the advanced very-high-resolution radiometer and the Landsat sensors

Recounts the career and contributions of Josa Manuel Bioucas-Dias.

Recounts the career and contributions of Jakob van Zyl.

As a result of the increasing use of unmanned aerial vehicles (UAVs), large volumes of aerial videos have been produced. It is unrealistic for humans to screen such big data and understand the contents. Hence, methodological research on the automatic understanding of UAV videos is of paramount importance (Figure 1). In this article, we introduce a novel problem of event recognition in unconstrained

The Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS) has organized the annual Data Fusion Contest (DFC) since 2006. The contest aims to establish new benchmarks for scientific challenges in remote sensing image analysis by promoting the use of multimodal data, leveraging new sensors as well as big data, and facilitating the emergence

Satellite technology has revolutionized the way we acquire terrestrial surface data. Such remotely sensed terrestrial data have made it possible to generate digital elevation models (DEMs) at multiple spatial and temporal scales by exploiting stereographic, interferometric, radargrammetric, and lidar principles [1]-[10]. Schemes adapted to generate DEMs are hugely successful, and, as such, DEM generation

Reports on GRSS society Chapter activities in Brazil.

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Following on the first part of our review of synthetic aperture radar (SAR) image statistical modeling [1], which concerns single-pixel statistical models, this article extends our discussion to spatial correlation analysis, focusing on SAR spatial correlation models and SAR clutter simulation methods. Two types of spatial correlation models, the product model and the coherent scatterer model, are

Pansharpening refers to the fusion of a multispectral (MS) image and panchromatic (PAN) data aimed at generating an outcome with the same spatial resolution of the PAN data and the spectral resolution of the MS image. In the last 30 years, several approaches to deal with this issue have been proposed. However, the reproducibility of these methods is often limited, making the comparison with the state

Advertisement: TechRxiv is a free preprint server for unpublished research in electrical engineering, computer science, and related technology. Powered by IEEE, TechRxiv provides researchers across a broad range of fields the opportunity to share early results of their work ahead of formal peer review and publication. Researchers are asked to upload their unpublished research.

This article represents the current state of the art in analyzing gas flaring (GF) from space. GF is a prominent source of air pollution, with significant global and local impacts. Its emissions contribute to climate change and air pollution, and its practice is a waste of a valuable energy source. A key barrier in evaluating the status of this phenomenon is the incomplete and inconsistent availability

With the rapid development of spaceborne synthetic aperture radar (SAR) technology and the acquisition of a large volume of SAR images, SAR image interpretation has become an urgent and difficult research topic. SAR image statistical modeling is one of the theoretical foundations for SAR image interpretation. It is of great value for the in-depth analysis of SAR images. This article reviews the major

Though widely studied over the years, radar target recognition is still far from being solved. Most earlier works rely on holistic features or raw intensity values, which are sensitive to the real-world sources of variability such as changes of pose, configuration, and imaging parameters; articulation; and occlusion. To solve these problems, this article resorts to the local descriptors around keypoints

Crop yields need to be improved in a sustainable manner to meet the expected worldwide increase in population over the coming decades as well as the effects of anticipated climate change. Recently, genomics-assisted breeding has become a popular approach to food security; in this regard, the crop breeding community must better link the relationships between the phenotype and the genotype. While high-throughput

The range of near-surface applications whereby the electrical and magnetic properties of the subsurface are investigated expands continually [1], and, particularly for terrestrial applications, increasingly higher spatial sampling densities are deployed [2]. Within the broad range of geophysical methods, small-loop frequency-domain electromagnetic (FDEM) instrumentation is often used to record variations

Oil is the most important resource in modern industry. However, with the continuous exploitation of oil and gas, disasters caused by ground deformation occur frequently. Among these disasters, the problem of land subsidence caused by oil field exploitation is the most serious. Land subsidence can cause damage to oil field production equipment and urban infrastructure. Therefore, the necessity and importance

OpenStreetMap (OSM) is a community-based, freely available, editable map service created as an alternative to authoritative sources. Given that it is edited mainly by volunteers with different mapping skills, the completeness and quality of its annotations are heterogeneous across different geographical locations. Despite that, OSM has been widely used in several applications in geosciences, Earth

Pansharpening aims to sharpen a lowspatial-resolution (LR) multispectral (MS) image using a high-spatial-resolution (HR) panchromatic (Pan) image to obtain the HR MS image. It has been a fundamental and active research topic in remote sensing, and pansharpening methods have been developed for nearly 40 years. While the performance evaluation of pansharpening methods is still based on a small number

Hyperspectral images (HSIs) provide detailed spectral information through hundreds of (narrow) spectral channels (also known as dimensionality or bands), which can be used to accurately classify diverse materials of interest. The increased dimensionality of such data makes it possible to significantly improve data information content but provides a challenge to conventional techniques (the so-called

Presents the front cover for this issue of the publication.

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

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.

Presents the introductory editorial for this issue of the publication.

Presents the President’s message for this issue of the publication.

The articles in this special section focus on inSAR (synthetic aperture radar interferometry) technology. This technology provides the unique ability to quantitatively map Earth’s elevation and surface deformation with high spatial resolution and precision. For this reason, it is used in many remote sensing applications (e.g., landslides, wetland water-level observation, and mining subsidence). Since

Synthetic aperture radar (SAR) has the unique ability to precisely measure slow surface motions, and this capability is widely used in many applications. Most of these methods were developed in the last two decades, while the increase of available SAR data in recent years has allowed the use of these approaches in various scientific and commercial projects. Based on our long experience and 16 years

Over the past two decades, the time-series interferometric synthetic aperture radar (InSAR) technique has been developed to estimate surface deformation parameters. Because of its ability to monitor large-scale deformation with millimeter accuracy, the time-series InSAR technique has been applied in many fields, such as urban infrastructure monitoring, mining subsidence, and landslides. The obtained

Ground-based differential interferometry synthetic aperture radar (GB-DInSAR) is a promising deformation measurement technology developed in the last 20 years. The GBDInSAR system is capable of sensing millimeter-scale deformations in the range of tens of meters to several kilometers from the target area in a continuous, all-weather environment. This article introduces in detail the basic principles

Ground surface deformation monitoring, parameter inversion, and forward prediction are essential to mining deformation mechanism interpretation and its related geohazard assessment. Interferometric synthetic aperture radar (InSAR) has the capability to measure surface deformation in a very wide area with high spatial resolution, low cost, and high efficiency, which traditional geodetic surveying techniques

Interferometric methods are drivers of the recent exponential growth in the use of synthetic aperture radar (SAR) for monitoring both natural and anthropogenic hazards. Since the first use of interferometric SAR (InSAR) in the late 1990s to detect deformations associated with earthquakes and volcanoes, important developments have improved sensor performance and data-processing capabilities for the

Since 2000, interferometric synthetic-aperture radar (InSAR) has been an effective tool to map 2D water-level changes beneath vegetated wetlands with a high spatial resolution and centimetric accuracy. In the last two decades, SAR images obtained from different wavelengths and polarization modes have been tested across various wetland systems, and InSAR-derived water-level-change maps have improved

Early warning systems (EWSs) to detect and monitor landslides are a great challenge. They are important due to the high cost of catastrophic landslides and are challenging because of the difficulty in identifying a diverse range of landslide-triggering factors. While there has been a very limited number of successes, recent advances in Earth observation (EO) from the ground, aircraft, and space have

Presents information on the 2020 IEEE GRSS Data Fusion Contest.

Moving into 2020 marks a number of milestones (if only based on its simplified numerology). The beginning of a new year and a new decade is always a good opportunity for retrospection, especially when progress has been made and is underway. The year 2019 marked both the last year that the IEEE Geoscience and Remote Sensing Society (GRSS) Women in GRSS (WinGRSS) would be a committee on its own and the

Reports on GRSS society chapter activities.

Reports on GRSS society chapter activities.

Presents information on the International INGARSS 2020 Conference.

The ZiYuan3 (ZY3) is a civilian stereo surveying and mapping satellite from China operating under the framework of the Earth resources satellite series, and its objective is to fulfill 1:50,000 mapping and update largerscale fundamental geographic information products. This article introduces the ZY3-03 satellite's mission and payload specifications as well as its data utilization and distribution

The data obtained with remote sensing sensors are processed to fuel studies related to the Earth's resources and environment. Sensor technologies being developed are increasing the diversity and capabilities of remote sensing data. However, these advancements are also multiplying the volume of information enormously, straining resources for processing the data. Meanwhile, the analysis and interpretation

Ripe with possibilities offered by deep-learning techniques and useful in applications related to remote sensing, computer vision, and robotics, 3D point cloud semantic segmentation (PCSS) and point cloud segmentation (PCS) are attracting increasing interest. This article summarizes available data sets and relevant studies on recent developments in PCSS and PCS.

Scarce in situ data in the western and central Tibetan Plateau (TP) hinder scientific research on physical process representation in climate models. Satellite remote sensing and climate models are effective data sources in complex topography and harsh environments, but they have not been effectively validated or improved for lack of multiscale observations matching their pixel or grid scales. Therefore