A Comparative Assessment of Remote Sensing Imaging Techniques: Optical, Sar and Lidar

Agrawal, Sonam; Khairnar, G. B.

doi:10.5194/isprs-archives-xlii-5-w3-1-2019

Cited by 15 publications

(9 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Basically, remote sensing sensors can be divided into two categories: active sensors, and passive sensors. Active sensors actively emit a signal and measure its reflection from the ground [95]. Passive sensors measure the electromagnetic radiation reflected from the surface.…”

Section: Sensors and Sensor Typementioning

confidence: 99%

“…Passive sensors measure the electromagnetic radiation reflected from the surface. The radiation detected is typically measured over a range from visible light (VIS) to short-wave infrared (SWIR), and is particularly sensitive to atmospheric disturbances such as clouds, fog, and similar phenomena [95]. Passive sensors are further subdivided into multispectral, hyperspectral, thermal, and passive microwave sensors.…”

Section: Sensors and Sensor Typementioning

confidence: 99%

See 1 more Smart Citation

Potential of Earth Observation to Assess the Impact of Climate Change and Extreme Weather Events in Temperate Forests—A Review

Wegler,

Kuenzer

2024

Remote Sensing

View full text Add to dashboard Cite

Temperate forests are particularly exposed to climate change and the associated increase in weather extremes. Droughts, storms, late frosts, floods, heavy snowfalls, or changing climatic conditions such as rising temperatures or more erratic precipitation are having an increasing impact on forests. There is an urgent need to better assess the impacts of climate change and extreme weather events (EWEs) on temperate forests. Remote sensing can be used to map forests at multiple spatial, temporal, and spectral resolutions at low cost. Different approaches to forest change assessment offer promising methods for a broad analysis of the impacts of climate change and EWEs. In this review, we examine the potential of Earth observation for assessing the impacts of climate change and EWEs in temperate forests by reviewing 126 scientific papers published between 1 January 2014 and 31 January 2024. This study provides a comprehensive overview of the sensors utilized, the spatial and temporal resolution of the studies, their spatial distribution, and their thematic focus on the various abiotic drivers and the resulting forest responses. The analysis indicates that multispectral, non-high-resolution timeseries were employed most frequently. A predominant proportion of the studies examine the impact of droughts. In all instances of EWEs, dieback is the most prevailing response, whereas in studies on changing trends, phenology shifts account for the largest share of forest response categories. The detailed analysis of in-depth forest differentiation implies that area-wide studies have so far barely distinguished the effects of different abiotic drivers at the species level.

show abstract

Section: Sensors and Sensor Typementioning

confidence: 99%

Section: Sensors and Sensor Typementioning

confidence: 99%

Potential of Earth Observation to Assess the Impact of Climate Change and Extreme Weather Events in Temperate Forests—A Review

Wegler,

Kuenzer

2024

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…As an emerging and highly comprehensive edge science, it includes theoretical content from various aspects such as modern physics and biotechnology; As a detection and imaging technology, its progressiveness and practicality have great advantages. Optical remote sensing imaging technology plays a very important role in remote sensing technology (Agrawal and Khairnar 2019). Therefore, this article takes the research project of the optical remote sensing simulation platform as the research entry point (Jha et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Simulation System for Indoor Lighting Environment Space Design Based on Optical Remote Sensors

Liang,

Sun

2024

Preprint

View full text Add to dashboard Cite

This article introduces the design and research process of the indoor lighting environment space design simulation system. From its composition, it is mainly divided into databases and indoor lighting software. The database system can provide supporting data for indoor lighting software, and the indoor lighting software includes multiple parts such as scene modeling and lighting calculation. With the help of the application program interface, the database achieves the transmission of data to the indoor lighting software, and then further completes the calculation of lighting through the indoor lighting software. In view of this, this article mainly explores and analyzes the model construction of optical remote sensors and the design model system of indoor lighting environment space. In addition, this article also uses three simulation models for optical imaging, namely ray tracing model, modulation transfer function model, and point spread function model, as effective research objects. Then, modulation transfer function and point spread function models are selected for comprehensive comparison to identify their advantages and disadvantages, and the two are used as the basis for the simulation model in this article. Through experiments, it was found that after modeling and simulating optical remote sensors, a variety of simulated images can be obtained. By using optical remote sensing image processing technology, a lot of useful information can be extracted, ultimately achieving diversified application effects of optical remote sensing images.

show abstract

“…Satellite imagery provides data for a wide coverage area with relatively low cost compared with other optical remote sensing (ORS) methods. Although satellite images can cover wide areas, they may lack in data accuracy [4], [5]. Most of the previous works in power transmission lines detection and monitoring depend on high-resolution UAV and aerial images that cannot rapidly cover wide areas compared with satellite images [6]- [12].…”

Section: Introductionmentioning

confidence: 99%

Detection and Monitoring of Power Line Corridor From Satellite Imagery Using RetinaNet and K-Mean Clustering

2021

View full text Add to dashboard Cite

Monitoring of electrical transmission towers (TTs) is required to maintain the integrity of power lines. One major challenge is monitoring vegetation encroachment that can cause power interruption. Most of the current monitoring techniques use unmanned aerial vehicles (UAV) and airborne photography as an observation medium. However, these methods are expensive and not practical for monitoring wide areas. In this paper, we introduced a new method for monitoring the power line corridor from satellite imagery. The proposed method consists of two stages. In the first stage, we used the existing state-of-the-art RetinaNet deep learning (DL) model to detect the locations of the TTs from satellite imagery. A routing algorithm has been developed to create a path between every adjacent detected TT. In addition to the routing algorithm, a corridor identification algorithm has been established for extracting the power line corridor area. In the second stage, the k-mean clustering algorithm has been used to highlight the VE regions within the power line corridor area after converting the target satellite image into hue, saturation, and value (HSV) color space. The proposed monitoring system was able to detect TTs from satellite imagery with a mean average precision (mAP) of 72.45% for an Intersection of Union (IoU) threshold of 0.5 and 85.21% for IoU threshold of 0.3. Also, the monitoring system was able to successfully discriminate high-and low-density vegetation regions within the power line corridor area.INDEX TERMS Deep learning, K-mean, satellite images, transmission tower detection.

show abstract

A Comparative Assessment of Remote Sensing Imaging Techniques: Optical, Sar and Lidar

Cited by 15 publications

References 29 publications

Potential of Earth Observation to Assess the Impact of Climate Change and Extreme Weather Events in Temperate Forests—A Review

Potential of Earth Observation to Assess the Impact of Climate Change and Extreme Weather Events in Temperate Forests—A Review

Simulation System for Indoor Lighting Environment Space Design Based on Optical Remote Sensors

Detection and Monitoring of Power Line Corridor From Satellite Imagery Using RetinaNet and K-Mean Clustering

Contact Info

Product

Resources

About