Search Results - "Geo-spatial information science"

Urban sprawl and its impact on sustainable urban development: a combination of remote sensing and social media data by Shao, Zhenfeng, Sumari, Neema S., Portnov, Aleksei, Ujoh, Fanan, Musakwa, Walter, Mandela, Paulo J.

“…Urbanization is one of the most impactful human activities across the world today affecting the quality of urban life and its sustainable development…”
Get full text

Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest by Tariq, Aqil, Yan, Jianguo, Gagnon, Alexandre S., Riaz Khan, Mobushir, Mumtaz, Faisal

“…Mapping and monitoring the distribution of croplands and crop types support policymakers and international organizations by reducing the risks to food…”
Get full text

Deep learning for change detection in remote sensing: a review by Bai, Ting, Wang, Le, Yin, Dameng, Sun, Kaimin, Chen, Yepei, Li, Wenzhuo, Li, Deren

“…A large number of publications have incorporated deep learning in the process of remote sensing change detection. In these Deep Learning Change Detection…”
Get full text

A survey on vision-based UAV navigation by Lu, Yuncheng, Xue, Zhucun, Xia, Gui-Song, Zhang, Liangpei

“…Research on unmanned aerial vehicles (UAV) has been increasingly popular in the past decades, and UAVs have been widely used in industrial inspection, remote…”
Get full text

Earth observation in service of the 2030 Agenda for Sustainable Development by Anderson, Katherine, Ryan, Barbara, Sonntag, William, Kavvada, Argyro, Friedl, Lawrence

“…This paper reviews the key role that Earth Observations (EO) play in achieving the Sustainable Development Goals (SDGs) as articulated in the 2030 Agenda…”
Get full text

A review of multi-class change detection for satellite remote sensing imagery by Zhu, Qiqi, Guo, Xi, Li, Ziqi, Li, Deren

“…Change Detection (CD) provides a research basis for environmental monitoring, urban expansion and reconstruction as well as disaster assessment, by identifying…”
Get full text

Land cover classification from remote sensing images based on multi-scale fully convolutional network by Li, Rui, Zheng, Shunyi, Duan, Chenxi, Wang, Libo, Zhang, Ce

“…Although the Convolutional Neural Network (CNN) has shown great potential for land cover classification, the frequently used single-scale convolution kernel…”
Get full text

Modified aquila optimizer for forecasting oil production by Al-qaness, Mohammed A. A., Ewees, Ahmed A., Fan, Hong, AlRassas, Ayman Mutahar, Abd Elaziz, Mohamed

“…Oil production estimation plays a critical role in economic plans for local governments and organizations. Therefore, many studies applied different Artificial…”
Get full text

Estimation of global karst carbon sink from 1950s to 2050s using response surface methodology by Jia, Bin, Zhou, Guoqing

“…For the estimation of global karst carbon sink, a few conventional methods usually require the parameters that are difficult to measure, resulting in the big…”
Get full text

LEO Enhanced Global Navigation Satellite System (LeGNSS): progress, opportunities, and challenges by Ge, Haibo, Li, Bofeng, Jia, Song, Nie, Liangwei, Wu, Tianhao, Yang, Zhe, Shang, Jingzhe, Zheng, Yanning, Ge, Maorong

“…With the completion of Chinese BeiDou Navigation Satellite System (BDS), the world has begun to enjoy the Positioning, Navigation, and Timing (PNT) services of…”
Get full text

China's high-resolution optical remote sensing satellites and their mapping applications by Li, Deren, Wang, Mi, Jiang, Jie

“…Since the beginning of the twenty-first century, several countries have made great efforts to develop space remote sensing for building a high-resolution earth…”
Get full text

Advances in spaceborne hyperspectral remote sensing in China by Zhong, Yanfei, Wang, Xinyu, Wang, Shaoyu, Zhang, Liangpei

“…With the maturation of satellite technology, Hyperspectral Remote Sensing (HRS) platforms have developed from the initial ground-based and airborne platforms…”
Get full text

Accuracy assessment of real-time kinematics (RTK) measurements on unmanned aerial vehicles (UAV) for direct geo-referencing by Ekaso, Desta, Nex, Francesco, Kerle, Norman

“…Geospatial information acquired with Unmanned Aerial Vehicles (UAV) provides valuable decision-making support in many different domains, and technological…”
Get full text

Remote sensing-based estimation of rice yields using various models: A critical review by dela Torre, Daniel Marc G, Gao, Jay, Macinnis-Ng, Cate

“…Reliable estimation of region-wide rice yield is vital for food security and agricultural management. Field-scale models have increased our understanding of…”
Get full text

Spatio-temporal-spectral observation model for urban remote sensing by Shao, Zhenfeng, Wu, Wenfu, Li, Deren

“…Taking cities as objects being observed, urban remote sensing is an important branch of remote sensing. Given the complexity of the urban scenes, urban remote…”
Get full text

A remote sensing assessment index for urban ecological livability and its application by Yu, Junbo, Li, Xinghua, Guan, Xiaobin, Shen, Huanfeng

“…Remote sensing provides us with an approach for the rapid identification and monitoring of spatiotemporal changes in the urban ecological environment at…”
Get full text

A review of remote sensing applications for oil palm studies by Chong, Khai Loong, Kanniah, Kasturi Devi, Pohl, Christine, Tan, Kian Pang

“…Oil palm becomes an increasingly important source of vegetable oil for its production exceeds soybean, sunflower, and rapeseed. The growth of the oil palm…”
Get full text

Understanding the pattern and mechanism of spatial concentration of urban land use, population and economic activities: a case study in Wuhan, China by Li, Zehui, Jiao, Limin, Zhang, Boen, Xu, Gang, Liu, Jiafeng

“…Quantifying the aggregation patterns of urban population, economic activities, and land use are essential for understanding compact development, but little is…”
Get full text

The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models by Lu, Binbin, Harris, Paul, Charlton, Martin, Brunsdon, Chris

“…In this study, we present a collection of local models, termed geographically weighted (GW) models, which can be found within the GWmodel R package. A GW model…”
Get full text

Determining the road traffic accident hotspots using GIS-based temporal-spatial statistical analytic techniques in Hanoi, Vietnam by Le, Khanh Giang, Liu, Pei, Lin, Liang-Tay

“…This study applied GIS-based statistical analytic techniques to investigate the influence of accident Severity Index (SI) on temporal-spatial patterns of…”
Get full text