Multidate, multisensor remote sensing reveals high density of carbon-rich mountain peatlands in the páramo of Ecuador

2017 ◽  
Vol 23 (12) ◽  
pp. 5412-5425 ◽  
Author(s):  
John A. Hribljan ◽  
Esteban Suarez ◽  
Laura Bourgeau-Chavez ◽  
Sarah Endres ◽  
Erik A. Lilleskov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Density ◽  
Mountain Peatlands

scholarly journals Validation of High-Density Airborne LiDAR-Based Feature Extraction Using Very High Resolution Optical Remote Sensing Data

2013 ◽  
Vol 02 (04) ◽  
pp. 297-311 ◽  
Author(s):  
Shridhar D. Jawak ◽  
Satej N. Panditrao ◽  
Alvarinho J. Luis
Keyword(s):  
Remote Sensing ◽  
Feature Extraction ◽  
High Resolution ◽  
Remote Sensing Data ◽  
High Density ◽  
Airborne Lidar ◽  
Optical Remote Sensing ◽  
Sensing Data ◽  
Very High

High-Density Schottky Barrier IRCCD Sensors For Remote Sensing Applications

1983 ◽  
Author(s):  
H. Elabd ◽  
J. R. Tower ◽  
B. M. McCarthy
Keyword(s):  
Remote Sensing ◽  
Schottky Barrier ◽  
High Density ◽  
Sensing Applications ◽  
Remote Sensing Applications

scholarly journals CLASSIFYING AND MAPPING OF VEGETATED AREA IN AL- BAHA REGION, SAUDI ARABIA USING REMOTE SENSING. II. THE RELATIONSHIP BETWEEN ELEVATION, LAND SURFACE DAY TEMPERATURE, AND VEGETATION DENSITY.

2020 ◽  
pp. 81-84
Author(s):  
Abdullah Saleh Al-Ghamdi
Keyword(s):  
Remote Sensing ◽  
Saudi Arabia ◽  
Land Surface ◽  
Eastern Desert ◽  
High Density ◽  
Vegetation Density ◽  
Central Belt ◽  
The North ◽  
North Eastern ◽  
Lower Temperature

Classifying and mapping of vegetated area in Al- Baha region, Saudi Arabia using remote sensing shows that the medium-high density vegetation is mostly found at the central part of Al-Baha region separating the highlands and the low lands. Results obtained show that only 862.5 km2 (7.7%) Al-Baha region is covered with medium-high density vegetation found mainly at the 6-15km width horizontal central belt (at districts of Al-Mandaq, Al-Baha and south Baljurashi) along high foggy mountainous plateau. Whereas, about 65% of Al-Baha region has very low-none density vegetation mainly occurred extensively at Tihama low plain towards the Red Sea and at the north-eastern desert plain. In addition, study reveals that the highlands of Al-Baha have the most numbers of trees represents the areas of the highest elevations in the region (range between 1940 and 2366 m above sea level. This indicates that there is relationship between this elevation range with medium to high vegetation density. Similarly, the low surface temperatures are mainly located at the central belt across Al-Baha region. When overlaid with medium-high vegetation density zone with the temperature map, it was visually observed that it almost fit with lower temperature zone of less than 15°C. This also indicates that there is relationship between lower temperature with medium-high vegetation density.

scholarly journals New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar

2019 ◽  
Vol 40 (4) ◽  
pp. 959-977 ◽  
Author(s):  
James R. Kellner ◽  
John Armston ◽  
Markus Birrer ◽  
K. C. Cushman ◽  
Laura Duncanson ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Density

scholarly journals Remote sensing of urban thermal environments within local climate zones: A case study of two high-density subtropical Chinese cities

Urban Climate ◽  
2020 ◽  
Vol 31 ◽  
pp. 100568
Author(s):  
Xiaoliang Chen ◽  
Yong Xu ◽  
Jinxin Yang ◽  
Zhifeng Wu ◽  
Hong Zhu
Keyword(s):  
Remote Sensing ◽  
High Density ◽  
Climate Zones ◽  
Chinese Cities ◽  
Local Climate ◽  
Thermal Environments ◽  
Local Climate Zones

scholarly journals CLASSIFYING AND MAPPING OF VEGETATED AREA IN AL- BAHA REGION, SAUDI ARABIA USING REMOTE SENSING. I. EXTENT AND DISTRIBUTION OF GROUND VEGETATED COVER CATEGORIES.

2020 ◽  
pp. 75-80
Author(s):  
Abdullah Saleh Al-Ghamdi
Keyword(s):  
Remote Sensing ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Vegetation Type ◽  
Regional Scale ◽  
Vegetation Indices ◽  
Vegetation Mapping ◽  
Primary Objective ◽  
High Density ◽  
Vegetation Density

Classifying and mapping vegetation is an important technical task for managing natural resources; the primary objective of the vegetation-mapping inventory is to produce high quality, standardized maps and associated data sets of vegetation. Satellite remote sensing has proven to be effective technology for mapping forest vegetation at the landscape to regional scale. In the remote sensing technique, vegetation density can be directly indicated by vegetation indices. Although there are several vegetation indices, the most widely used is the Normalized Difference Vegetation Index (NDVI), formulated by transforming raw satellite data into NDVI values, ranging from -1 to 1. NDVI enables the creation of images and other products that provide a rough measure of vegetation type, amount, and condition on land surfaces. The results show that medium to high density vegetation is mostly found in the central part of Al-Baha region separating the highlands and lowlands. The relationship study between NDVI and vegetation cover percentage in this study depicts an NDVI value of only 0.20–1.00, which indicates that vegetation covers over 60% of Al-Baha. This is probably because vegetation here may not only comprise trees but also other plant forms such as herbs and shrubs. However, only 862.5 km2 (7.7%) of Al-Baha is covered with medium-high density vegetation, found mainly at the 6 –15km width horizontal central belt (in the Al-Mandaq, Al-Baha, and south Baljurashi districts) along a high, foggy mountainous plateau. Conversely, about 65% of Al-Baha region has very low to no vegetation density; vegetation is found extensively in the Tihama low plain towards the Red Sea and in the north-eastern desert plain. This study has provided a comprehensive report on vegetation mapping in the Al-Baha region.

scholarly journals Mapping Mountain Peatlands and Wet Meadows Using Multi-Date, Multi-Sensor Remote Sensing in the Cordillera Blanca, Peru

Wetlands ◽  
2019 ◽  
Vol 39 (5) ◽  
pp. 1057-1067 ◽  
Author(s):  
Rodney A. Chimner ◽  
Laura Bourgeau-Chavez ◽  
Sarah Grelik ◽  
John A. Hribljan ◽  
Ana Maria Planas Clarke ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Cordillera Blanca ◽  
Wet Meadows ◽  
Mountain Peatlands

High-density Schottky barrier IRCCD sensors for remote-sensing applications

1983 ◽  
Author(s):  
H. Elabd ◽  
J. R. Tower ◽  
B. M. Mccarthy
Keyword(s):  
Remote Sensing ◽  
Schottky Barrier ◽  
High Density ◽  
Sensing Applications ◽  
Remote Sensing Applications

Regional soil erosion assessment from remote sensing data in rehabilitated high density canopy forests of southern China

CATENA ◽  
2014 ◽  
Vol 123 ◽  
pp. 106-112 ◽  
Author(s):  
Haidong Zhang ◽  
Dongsheng Yu ◽  
Linlin Dong ◽  
Xuezheng Shi ◽  
Eric Warner ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Southern China ◽  
Remote Sensing Data ◽  
High Density ◽  
Sensing Data ◽  
Soil Erosion Assessment
Sign in / Sign up

Export Citation Format

Share Document