Remote Sensing - Science topic

Coming soon!

This Special Issue focuses on exploring new techniques for the data-to-information process used to acquire remote sensing data from coastal and littoral areas. Deep learning approaches, pattern recognition, machine learning methods built on suitable models closely linked to the data, image processing techniques (for instance segmentation and classi...

Canopy scattering coefficient (CSC) is the ratio of bidirectional reflectance factor (BRF) to directional area scattering coefficient (DASF), and has been successfully applied to correct the effect of canopy structure. The key to calculate CSC is to calculate DASF, which is determined by the intercept b and slope k of the linear relationship betwee...

Within land surface models (LSM), the biomass allocation scheme (BAS) allows to simulate the dynamics of vegetation growth in response to climatic variation and other drivers. It distributes the assimilated carbon across different biomass pools, and consequently determines the spatio-temporal variability of the leaf area index (LAI). In many LSM, l...

https://www.grss-ieee.org/publications/call-for-papers/jstars-special-issues/

Remote sensing techniques for monitoring algal blooms in the area between Jeddah and Rabigh on the Red Sea Coast

Remote sensing (RS) of solar-induced chlorophyll fluorescence (SIF) has a great potential for monitoring plant photosynthetic activity. Radiative transfer models (RTM) are essential to better interpret and extract information from SIF signals. DART is one of the most comprehensive and accurate 3D RTMs. Its standard mode DART-FT simulates SIF using...

Context or problem The rapid and accurate estimation of grain protein accumulation (GPA) dynamics in rice by remote sensing (RS) is essential for rice grain quality assessment. However, challenges are faced when multispectral data are directly used to estimate the GPA due to the lack of corresponding sensitive feature bands. Objective or research...

Change detection on multimodal remote sensing images has become an increasingly interesting and challenging topic in the remote sensing community, which can play an essential role in time-sensitive applications, such as disaster response. However, the modal heterogeneity problem makes it difficult to compare the multimodal images directly. This pap...

In the present study, eight sub-watersheds are prioritized in Hiranyakeshi lower sub-basin based on the morphometric analysis using Remote Sensing and Geographical Information System. An evaluation of morphometric parameters is conducted to determine the potential of sub-watersheds. Sub-watersheds were prioritised as they are the most vulnerable an...

The open access journal Remote Sensing (IF: 4.509, ISSN 2072-4292) is pleased to announce that we have launched a new Special Issue entitled “Geospatial Foundation Model in Urban Environments: Challenges and New Technologies” Given the depth of your expertise in this field, I would like to cordially invite you to contribute an article to the Speci...

As a result of work using the ratio of different bands and combinations of Landsat 7 and Landsat 8 multispectral satellite images, a new combination was created, which made it possible to map mineralization zones for known deposits and identified new potentially promising mineralized zones as continuations of ore zones. The results of remote studie...

Call for Papers: We are delighted to announce our Special Issue "Synergy of GIS and Remote Sensing in Civil Engineering" which has been launched in Remote Sensing (MDPI). Submissions are now open for review articles and original research papers. See the several accepted topics in: https://lnkd.in/eqxK7DmX Teamwork: Susana Del Pozo #civilengineer...

Multimodal change detection (MCD) is an increasingly interesting but very challenging topic in remote sensing, which is due to the unavailability of detecting changes by directly comparing multimodal images from different domains. In this paper, we first analyze the structural asymmetry between multitemporal images and show their negative impact on...

The crop model data assimilation approach has been acknowledged as an effective tool for monitoring crop growth and estimating yield. However, the choice of assimilated variables and the mismatch in scale between remotely sensed observations and crop model-simulated state variables have various effects on the performance of yield estimation. This s...

Tailings ponds’ failure and environmental pollution make tailings monitoring very important. Remote sensing technology can quickly and widely obtain ground information and has become one of the important means of tailings monitoring. However, the efficiency and accuracy of traditional remote sensing monitoring technology have difficulty meeting the...

Soil salinization is a resource and ecological problem that currently exists on a large scale in all countries of the world. This problem is seriously restricting the development of agricultural production, the sustainable use of land resources, and the stability of the ecological environment. Salinized soils in China are characterized by extensive...

In this study, the presence of permafrost layer and its potential variation in the last three decades will be examined through the multitemporal analysis of satellite data in the area of the Deosai Plateau (Northern Pakistan). In the area, only global maps on the potential presence of permafrost layer are known. The results are based on the evaluat...

The geolocation accuracy of Synthetic Aperture Radar (SAR) images is crucial for their application in various industries. Five high-resolution SAR satellites, namely ALOS, TerraSAR-X, Cosmo-SkyMed, RadarSat-2, and Chinese YG-3, provide a vast amount of image data for research purposes, although their geometric accuracies differ despite similar reso...

The article investigates the accuracy of spatio-temporal modeling of main electrical networks based on open data published in schemes and programs for the development of regions. As a rule, these documents give the date of commissioning / reconstruction of the entire line, which it is at a given point in time, however, in reality, modern lines cons...

z: Yüksek spektral çözünürlüğe sahip bir tür optik uzaktan algılama görüntüsü olarak, hiperspektral görüntüler, zengin spektral özellik bilgisine sahip 3 boyutlu görüntü küpleridir. Şu anda hiperspektral görüntü sınıflandırması, uzaktan algılama alanındaki en aktif araştırma alanlarından biridir. Son yıllarda bu alanda derin öğrenme ve özellikle ev...

Ground validation of remote sensing soil moisture requires ground measurements corresponding to the pixel scale. To date, there is still a lack of simple, fast and reasonable methods for soil moisture measurement at pixel scale between point measurements and remote sensing observations. In this study, a measurement method of soil moisture using gro...

Soil moisture (SM) and land surface temperature (LST) are entangled, and the retrieval of one of them requires a priori specification of the other one. Due to insufficient observational information, retrieval of LST and SM from passive microwave remote sensing data is often ill-posed, and the retrieval accuracy needs to be improved. In this study,...

Water-use efficiency is the amount of carbon assimilated per water used by an ecosystem and a key indicator of ecosystem functioning, but its variability in response to climate change and droughts is not thoroughly understood. Here, we investigated trends, drought response and drivers of three water-use efficiency indices from 1995–2018 in Europe w...

Ground instabilities inventories, regrouping the different existing instability typologies, are of primary importance for their comprehension and anticipation of further instabilities. Several methods can be used to prepare such an inventory, depending on the objective, the size of the study area, the availability of data, etc. To make an inventory...

As observed by remote sensing images in December 2013 and January 2014, chlorophyll-a (Chl-a) bloom occurred on the south side of the Agulhas Current (38°S-45°S). The dynamic mechanisms of Chl-a bloom were studied by satellite remote sensing data, reanalysis data and Argo data. The periodic shedding of the Agulhas ring led to a significant eastward...

In recent years, remote sensing image (RSI) semantic segmentation attracts increasing research interest due to its wide application. RSIs are difficult to be processed holistically on current GPU cards on account of their large field-of-views (FOVs). However, the prevailing practices such as downsampling and cropping will inevitably decrease the qu...

Agent-based models (ABMs) are particularly suited for simulating the behaviour of agricultural agents in response to land use (LU) policy. However, there is no evidence of their widespread use by policymakers. Here, we carry out a review of LU ABMs to understand how farmers’ decision-making has been modelled. We found that LU ABMs mainly rely on pr...

The analysis of remote sensing data and the classification of images are complex problems because understanding spatial patterns and intricate geometric structures of the data from which meaningful interrelationship pixels are extracted is essential in the remote sensing community. CNN is one of the Machine Learning methods often used in Remote Sen...

Rural settlement is an important part of studying the relationship between humans and land; it is highly significant in revealing the evolution, driving mechanism and reconstruction scheme of rural settlement pattern. In this paper, Jiangning District, a rapidly urbanized area, was selected as a typical case. Using remote sensing image data, the la...

The electromagnetic (EM) scattering mechanism of dynamic oil spill–covered sea surface area is studied in this manuscript. Utilizing the theory of oil film diffusion combined with oil spill volume, a three–dimensional (3D) geometric model of dynamic oil spill–covered sea surface area is established. The changes of the geometric structure and statis...

Remote sensing image classification (RSIC) is a classical and fundamental task in the intelligent interpretation of remote sensing imagery, which can provide unique labeling information for each acquired remote sensing image. Thanks to the potent global context information extraction ability of the multi-head self-attention (MSA) mechanism, visual...

Due to the rapid development of urbanization, land-use types have changed greatly, which has led to many ecological problems. Therefore, the current research objective is to solve the problems in existence in Jinan, so as to determine the existing landscape ecological risks and optimize the landscape structure. Using 2 m high-resolution remote sens...

In recent years, deep learning has been widely employed in the field of image compression, the most significant of which is the lossy image compression method on the basis of convolutional neural networks. And we study the application of convolutional neural networks to remote sensing image compression. Consequently, we implement an enhanced residu...

The remote sensing image caption can acquire ground objects and the semantic relationships between different ground objects. Existing remote sensing image caption algorithms do not acquire enough ground object information from remote-sensing images, resulting in inaccurate captions. As a result, this paper proposes a codec-based Dual Feature Enhanc...

Spatially continuous surface air temperature (SAT) is of great significance for various research areas in geospatial communities, and it can be reconstructed by the SAT estimation models that integrate accurate point measurements of SAT at ground sites with wall-to-wall datasets derived from remotely sensed observations of spaceborne instruments. A...

Profiling eco-environmentally vulnerable (EV) areas can contributeto the development of mechanisms for environmental protectionand sustainable management of ecological resources. Land coverchange, population density, annual precipitation, mean tempera-ture, remotely sensed indices, actual evapotranspiration, land sur-face temperature (LST), and run...

Landscape archaeology (archaeogeography) is a multidisciplinary study used by pre-historical, classic, and historical archaeologists. Archaeogeography deals with the study of how people have shaped and used their environment throughout history. It focuses on the relationship between the material culture of a given community and the changes it intro...

The limited number of ozone monitoring stations imposes uncertainty in various applications, calling for accurate approaches to capturing ozone values in all regions, particularly those with no in-situ measurements. This study uses deep learning (DL) to accurately estimate daily maximum 8-hr average (MDA8) ozone and examines the spatial contributio...

Peri-urban area around a city is a dynamic zone that undergoes considerable changes over time in terms of its functional land use. Analogous to other Indian cities, these changes are also evident in the peri-urban villages of Burdwan city, which has seen intense land use changes between 1987 and 2017. These changes are gauged by using LANDSAT-5 The...

Plain Language Summary Debris‐covered glaciers are common throughout the world's mountain ranges and are characterized by the presence of steep ice cliffs among the debris‐covered ice. It is well‐known that the cliffs are responsible for a large portion of the melt of these glaciers but the controls on their formation, development and distribution...

Despite the recent advances in deep neural networks, standard convolutional kernels limit the applications of these networks to the Euclidean domain only. Considering the geodesic nature of the measurement of the earth's surface, remote sensing is one such area that can benefit from non-Euclidean and spherical domains. For this purpose, we propose...

Floral phenology as a special indicator of climate change and vegetation dynamics is drawing more attention. The long-term observations of flowering events collected at scattered ground sites have accumulated valuable priority on the understanding of floral phenology, but with insufficient investigation on the spatio-temporal dynamics at regional s...

The retrieval of crop growth status using Global Navigation Satellite System Interferometric Reflectometry (GNSS-IR) has become a major area of interest within the field of vegetation remote sensing in recent years. Using only a single GNSS antenna, it is difficult to determine the crop growth status and soil water content (SWC) in vegetation-cover...

Desertification has become a major problem in the field, affecting both the global ecological environment and economy. The effective monitoring of desertified land is an important prerequisite for land desertification protection and governance. With the aim of addressing the problems of spectral confusion as well as the salt and pepper phenomenon c...

To benefit the complementary information between heterogeneous data, we introduce a new Multimodal Transformer (MMFormer) for Remote Sensing (RS) image classification using Hyperspectral Image (HSI) accompanied by another source of data such as Light Detection and Ranging (LiDAR). Compared with traditional Vision Transformer (ViT) lacking inductive...

Change detection (CD) methods using synthetic aperture radar (SAR) data have received significant attention in the field of remote sensing Earth observation, which mainly involves knowledge-driven and data-driven approaches. Knowledge-driven CD methods are based on the physical theoretical models with strong interpretability, but they lack the robu...

Since the 1960s, the increased availability of modern seed varieties in developing countries has had large positive effects on households’ well-being. However, the effect of related land use changes on deforestation and biodiversity is ambiguous. This study examines this question through a randomized control trial in a remote area in the Congo Basi...

Land use can affect energy consumption by changing the economic and social structure of cities. Thus, the optimization of land use patterns is key to promoting energy sustainability. In this study, we explored the spatiotemporal evolution of China’s urban energy consumption and its driving factors from the role of land use, with the application of...

Palavras-chave: Sensoriamento remoto. Planejamento. Ecologia da Paisagem. 1 INTRODUÇÃO O processo frenético de substituição das áreas naturais dando lugar aos mais diversos usos e ocupação do solo e culminando na fragmentação das áreas que possuem cobertura florestal são o produto das ações antrópicas, que têm gerado profundas modificações nas pais...

In many regions, the frequency and extent of wildfires has increased in recent years, a trend which is expected to continue. Hence, there is a need for effective fire management strategies. Such strategies need to be based on accurate and complete data on vegetation condition and post-fire effects, collected in the field as well as by remote sensin...

Image processing techniques are applied on various kinds of images such as medical images, microscopy images and remote sensing images for improving the visual qualities of these images as their credibility is questioned because of poor visibility, contrast, acquired noise etc. Image enhancement is necessary for removing the visual ailment of these...

Accurate prediction of the El Niño–Southern Oscillation (ENSO) is crucial for climate change research and disaster prevention and mitigation. In recent decades, the prediction skill for ENSO has improved significantly; however, accurate forecasting at a lead time of more than six months remains challenging. By using a machine learning method called...

Este trabalho teve como objetivo principal analisar e levantar possíveis impactos humanos sobre a cobertura vegetal e a eficácia na conservação do Monumento Natural Morro de Santo Antônio (MONAT), localizado no Estado de Mato Grosso, por meio de sensoriamento remoto. A metodologia constituiu no cálculo do Índice de Vegetação por Diferença Normaliza...

After several field campaigns between 2007 and 2018 in the northwestern region of the Dominican Republic, more than 300 archaeological sites have been registered and revisited. While several of these sites were identified through the scatter of surface material culture, others show terrain modifications in the form of anthropogenic mounds and level...

Acreage estimates are crucial for forecasting menthol mint acreage, as crop output figures fluctuate from year to year in response to fluctuations in the market price of menthol mint oil. Thus, there are yearly fluctuations in the maximum price that farmers can obtain. Since low production arises from low rates, and high production results from hig...