ALOS-4 current status

Miura, Satoko; Kankaku, Yukihiro; Motohka, Takeshi; Yamamoto, K.; Suzuki, Shuichi

doi:10.1117/12.2531011

Cited by 5 publications

(2 citation statements)

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“…It is planned to be launched in 2021 with a designed life of 5 years. The PALSAR-3 is designed for long-term monitoring with a 3 m spatial resolution, and it will follow the orbit of the PALSAR -2 with a 14-days temporal resolution [190,193,194]. Earlier, observations from the PALSAR-2 are extensively used to produce an annual global mosaic of SAR images at a 25 m spatial resolution, which has been used for developing numerous tropical/global biomass estimation maps [164].…”

Section: Recent and Future Space-borne Satellite Missions For Biomass...mentioning

confidence: 99%

Approaches of Satellite Remote Sensing for the Assessment of Above-Ground Biomass across Tropical Forests: Pan-tropical to National Scales

Abbas

Wong

et al. 2020

Remote Sensing

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Tropical forests are acknowledged for providing important ecosystem services and are renowned as “the lungs of the planet Earth” due to their role in the exchange of gasses—particularly inhaling CO2 and breathing out O2—within the atmosphere. Overall, the forests provide 50% of the total plant biomass of the Earth, which accounts for 450–650 PgC globally. Understanding and accurate estimates of tropical forest biomass stocks are imperative in ascertaining the contribution of the tropical forests in global carbon dynamics. This article provides a review of remote-sensing-based approaches for the assessment of above-ground biomass (AGB) across the tropical forests (global to national scales), summarizes the current estimate of pan-tropical AGB, and discusses major advancements in remote-sensing-based approaches for AGB mapping. The review is based on the journal papers, books and internet resources during the 1980s to 2020. Over the past 10 years, a myriad of research has been carried out to develop methods of estimating AGB by integrating different remote sensing datasets at varying spatial scales. Relationships of biomass with canopy height and other structural attributes have developed a new paradigm of pan-tropical or global AGB estimation from space-borne satellite remote sensing. Uncertainties in mapping tropical forest cover and/or forest cover change are related to spatial resolution; definition adapted for ‘forest’ classification; the frequency of available images; cloud covers; time steps used to map forest cover change and post-deforestation land cover land use (LCLU)-type mapping. The integration of products derived from recent Synthetic Aperture Radar (SAR) and Light Detection and Ranging (LiDAR) satellite missions with conventional optical satellite images has strong potential to overcome most of these uncertainties for recent or future biomass estimates. However, it will remain a challenging task to map reference biomass stock in the 1980s and 1990s and consequently to accurately quantify the loss or gain in forest cover over the periods. Aside from these limitations, the estimation of biomass and carbon balance can be enhanced by taking account of post-deforestation forest recovery and LCLU type; land-use history; diversity of forest being recovered; variations in physical attributes of plants (e.g., tree height; diameter; and canopy spread); environmental constraints; abundance and mortalities of trees; and the age of secondary forests. New methods should consider peak carbon sink time while developing carbon sequestration models for intact or old-growth tropical forests as well as the carbon sequestration capacity of recovering forest with varying levels of floristic diversity.

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Section: Recent and Future Space-borne Satellite Missions For Biomass...mentioning

confidence: 99%

Approaches of Satellite Remote Sensing for the Assessment of Above-Ground Biomass across Tropical Forests: Pan-tropical to National Scales

Abbas

Wong

et al. 2020

Remote Sensing

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“…Currently, high-resolution satellite-based L-band imaging SAR data are only recorded by the ALOS-2 and the recently launched Argentinean L-band SAOCOM-1A sensors. This gap may be closed with the launch of upcoming spaceborne L-band missions ALOS-4 [224], the SAOCOM-1 constellation and the proposed L-band missions Tandem-L, ESA's ROSE-L or the joint NASA-ISRO (Indian Space Reseach Organisation) dual frequency S-and L-band NISAR mission [225] in the next few years. New opportunities arise with upcoming commercial data providers and the launch of new Earth imaging satellites, such as the optical microsatellite constellation of the Earth imaging company Planet Labs.…”

Section: Future Spaceborne L-band Systemsmentioning

confidence: 99%

Spaceborne L-Band Synthetic Aperture Radar Data for Geoscientific Analyses in Coastal Land Applications: A Review

Ottinger

Kuenzer

2020

Remote Sensing

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The coastal zone offers among the world’s most productive and valuable ecosystems and is experiencing increasing pressure from anthropogenic impacts: human settlements, agriculture, aquaculture, trade, industrial activities, oil and gas exploitation and tourism. Earth observation has great capability to deliver valuable data at the local, regional and global scales and can support the assessment and monitoring of land- and water-related applications in coastal zones. Compared to optical satellites, cloud-cover does not limit the timeliness of data acquisition with spaceborne Synthetic Aperture Radar (SAR) sensors, which have all-weather, day and night capabilities. Hence, active radar systems demonstrate great potential for continuous mapping and monitoring of coastal regions, particularly in cloud-prone tropical and sub-tropical climates. The canopy penetration capability with long radar wavelength enables L-band SAR data to be used for coastal terrestrial environments and has been widely applied and investigated for the following geoscientific topics: mapping and monitoring of flooded vegetation and inundated areas; the retrieval of aboveground biomass; and the estimation of soil moisture. Human activities, global population growth, urban sprawl and climate change-induced impacts are leading to increased pressure on coastal ecosystems causing land degradation, deforestation and land use change. This review presents a comprehensive overview of existing research articles that apply spaceborne L-band SAR data for geoscientific analyses that are relevant for coastal land applications.

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