Agricultural monitoring is essential for adequate management of food production and distribution.Crop land and crop type classification,using remote sensing time series,form an important tool to capture the agricultur...Agricultural monitoring is essential for adequate management of food production and distribution.Crop land and crop type classification,using remote sensing time series,form an important tool to capture the agricultural production information.The recently launched Sentinel-2 satellites provide unprecedented monitoring capacities in terms of spatial resolution,swath width,and revisit frequency.The Sentinel-2 for Agriculture(Sen2-Agri)system has been developed to fully exploit those capacities,by providing four relevant earth observation products for agricultural monitoring.Under the Dragon 4 Program,the crop mapping with various satellite images and a specific focus on the Yellow River irrigated agricultural area in the Ningxia Hui Autonomous Region in China was carried out with the Sentinel-2 for Agriculture system(Sent2Agri).9 types of crops were classified and the crop type map in 2017 was produced based on 35 scenes Sentinel 2A/B images.The overall accuracy computed from the error confusion matrix is 88%,which includes the cropped and uncropped types.After the removal of the uncropped area,the overall accuracy for a cropped decrease to 73%.In order to further improve the crop classification accuracy,the training dataset should be further improved and tuned.展开更多
The National Estuarine Research Reserve System (NERRS) is an integrated network of 29 protected and coordinated estuarine reserve sites in 23 states and one territory (Puerto Rico) covering more than 525,000 ha of est...The National Estuarine Research Reserve System (NERRS) is an integrated network of 29 protected and coordinated estuarine reserve sites in 23 states and one territory (Puerto Rico) covering more than 525,000 ha of estuarine habitat, adjoining wetlands, and uplands that encompass 19 biogeographical regions along the Atlantic, Gulf of Mexico, and Pacific coasts, as well as the Caribbean Sea and Great Lakes. NERRS is an ecosystem-based research and monitoring network of sites serving as platforms to develop quantitative databases of value to coastal management programs in identifying and tracking short-term variability and long-term changes in the integrity and biodiversity of estuarine systems nationwide due to natural perturbations and anthropogenic disturbances. The reserve sites also play a vital role in assessing coastal issues of local, regional, and national significance for the purpose of sustaining estuarine systems and coastal lands, such as evaluating their responses to climate change and other major stressors to inform coastal decision-making and public awareness for the protection and resilience of natural resources and coastal communities. Over the past four decades, NERRS sites have collected large volumes of research and monitoring data of great utility in characterizing estuarine environments and addressing an array of resource-management concerns, including degraded water quality, loss and alteration of essential habitat, impacted fisheries, invasive species, and conservation.展开更多
基金Natural Science Foundation project(No.41271429)FP7 Project(SIGMA)ESA Project(Dragon 4 and S2A)。
文摘Agricultural monitoring is essential for adequate management of food production and distribution.Crop land and crop type classification,using remote sensing time series,form an important tool to capture the agricultural production information.The recently launched Sentinel-2 satellites provide unprecedented monitoring capacities in terms of spatial resolution,swath width,and revisit frequency.The Sentinel-2 for Agriculture(Sen2-Agri)system has been developed to fully exploit those capacities,by providing four relevant earth observation products for agricultural monitoring.Under the Dragon 4 Program,the crop mapping with various satellite images and a specific focus on the Yellow River irrigated agricultural area in the Ningxia Hui Autonomous Region in China was carried out with the Sentinel-2 for Agriculture system(Sent2Agri).9 types of crops were classified and the crop type map in 2017 was produced based on 35 scenes Sentinel 2A/B images.The overall accuracy computed from the error confusion matrix is 88%,which includes the cropped and uncropped types.After the removal of the uncropped area,the overall accuracy for a cropped decrease to 73%.In order to further improve the crop classification accuracy,the training dataset should be further improved and tuned.
文摘The National Estuarine Research Reserve System (NERRS) is an integrated network of 29 protected and coordinated estuarine reserve sites in 23 states and one territory (Puerto Rico) covering more than 525,000 ha of estuarine habitat, adjoining wetlands, and uplands that encompass 19 biogeographical regions along the Atlantic, Gulf of Mexico, and Pacific coasts, as well as the Caribbean Sea and Great Lakes. NERRS is an ecosystem-based research and monitoring network of sites serving as platforms to develop quantitative databases of value to coastal management programs in identifying and tracking short-term variability and long-term changes in the integrity and biodiversity of estuarine systems nationwide due to natural perturbations and anthropogenic disturbances. The reserve sites also play a vital role in assessing coastal issues of local, regional, and national significance for the purpose of sustaining estuarine systems and coastal lands, such as evaluating their responses to climate change and other major stressors to inform coastal decision-making and public awareness for the protection and resilience of natural resources and coastal communities. Over the past four decades, NERRS sites have collected large volumes of research and monitoring data of great utility in characterizing estuarine environments and addressing an array of resource-management concerns, including degraded water quality, loss and alteration of essential habitat, impacted fisheries, invasive species, and conservation.
