Using field survey and remote sensing to assess rainforest canopy damage following Cyclone Larry

2008 ◽  
Vol 33 (4) ◽  
pp. 417-431 ◽  
Author(s):  
NICOLE J. MOORE ◽  
DAVID S. GILLIESON
Keyword(s):  
Remote Sensing ◽  
Field Survey ◽  
Canopy Damage

scholarly journals Critical Land Detection using Remote Sensing Device and Geographic Information (Case Study of Critical Land Basic of Catchments Area, Alang, Wonogiri)

2017 ◽  
Vol 19 (1) ◽  
pp. 1
Author(s):  
Beny Harjadi
Keyword(s):  
Remote Sensing ◽  
Field Survey ◽  
Critical Level ◽  
Satellite Image ◽  
Geographic Information ◽  
Level Data ◽  
The Difference

Work criteria and indicator of Catchments Area need to be determined because the success and the failure of cultivating Catchments Area can be monitored and evaluated through the determined criteria. Criteria Indicators in utilizing land, one of them is determined based on the erosion index and the ability of utilizing land, for analyzing the land critical level. However, the determination of identification and classification of land critical level has not been determined; as a result the measurement of how wide the real critical land is always changed all the year. In this study, it will be tried a formula to determine the land critical/eve/ with various criteria such as: Class KPL (Ability of Utilizing Land) and the difference of the erosion tolerance value with the great of the erosion compared with land critical level analysis using remote sensing devices. The aim of studying land critical level detection using remote sensing tool and Geographic Information System (SIG) are:1. The backwards and the advantages of critical and analysis method2. Remote Sensing Method for critical and classification3. Critical/and surveyed method in the field (SIG) Collecting and analyzing data can be found from the field survey and interpretation of satellite image visually and using computer. The collected data are analyzed as:a. Comparing the efficiency level and affectivity of collecting biophysical data through field survey, sky photo interpretation, and satellite image analysis.b. Comparing the efficiency level and affectivity of land critical level data that are found from the result of KPL with the result of the measurement of the erosion difference and erosion tolerance.

scholarly journals Land Conversion Dynamics in the Borana Rangelands of Southern Ethiopia: An Integrated Assessment Using Remote Sensing Techniques and Field Survey Data

Environments ◽  
2015 ◽  
Vol 2 (4) ◽  
pp. 1-31 ◽  
Author(s):  
Michael Elias ◽  
Oliver Hensel ◽  
Uwe Richter ◽  
Christian Hülsebusch ◽  
Brigitte Kaufmann ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Survey Data ◽  
Integrated Assessment ◽  
Field Survey ◽  
Southern Ethiopia ◽  
Land Conversion ◽  
Remote Sensing Techniques

Village level crop inventory using remote sensing and field survey data

2005 ◽  
Vol 33 (1) ◽  
pp. 93-98 ◽  
Author(s):  
R. P. Singh ◽  
V. N. Sridhar ◽  
V. K. Dadhwal ◽  
R. Jaishankar ◽  
M. Neelkanthan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Survey Data ◽  
Field Survey ◽  
Village Level

Study on Interpretation of Landslides Based on Gis — Taking New Fengjie County in Chongqing as an Example

2012 ◽  
Vol 204-208 ◽  
pp. 3409-3414
Author(s):  
Le Yang ◽  
Rui Na Lu ◽  
De Jun Tan ◽  
Hong Bin Xie ◽  
Zhen Fu Luo
Keyword(s):  
Remote Sensing ◽  
Three Gorges Reservoir ◽  
Field Survey ◽  
Three Gorges ◽  
Engineering Construction ◽  
The Three Gorges Reservoir ◽  
Remote Sensing Technology ◽  
The Three Gorges ◽  
Sensing Technology ◽  
Remote Sense

The paper chooses new Fengjie county with the area of 66.90 km2 as research region to interpret landslide that picked with the proportion of 1/1000 by remote sense technique. Interpretation results of landslide are basically consistent with the results of field survey. It proves that the remote sensing technology in the landslide investigation is feasible and effective,which have strong practicability and guidanciality to engineering construction of the three Gorges Reservoir.

scholarly journals Pemetaan Kawasan Lahan Pertanian Pangan Berkelanjutan di Kuta Utara dan Mengwi Berbasis Penginderaan Jauh dan Sistem Informasi Geografis

2021 ◽  
Vol 11 (2) ◽  
pp. 176
Author(s):  
KARTIKA DEWI OKTAFIANTI ◽  
INDAYATI LANYA ◽  
NI MADE TRIGUNASIH
Keyword(s):  
Remote Sensing ◽  
Agricultural Land ◽  
Field Survey ◽  
Spatial Information ◽  
Image Interpretation ◽  
Rice Fields ◽  
Geographical Information ◽  
Sustainable Food ◽  
Physical Conditions

Mapping of Sustainable Food Agricultural Land at North Kuta and Mengwi Districts Based on Remote Sensing and Geographical Information System. Sustainable Food Agricultural Land (LP2B) is a field of agricultural land designated to be protected and developed consistently in order to produce staple food for national food independence, resilience and sovereignty. The Badung Regency Government has determined the area and location of LP2B but it has not been accompanied by a spatial information map. This study aims to map subak rice fields in 2019 as well as mapping of LP2B based on the physical conditions of the area and the environment in North Kuta and Mengwi Districts based on remote sensing and GIS. The method used consists of image interpretation, field survey and numerical classification. The results showed that the distribution of subak rice fields in North Kuta and Mengwi Districts was 4967.22 ha. The distribution of rice fields in North Kuta District is 850.15 ha and in Mengwi District is 4117.07 ha. In the classification of LP2B areas, the recommended area is model 1 (234.88 ha), model 2 (939.76 ha) and model 3 (2048.63 ha). The recommendation areas are in model 1 (1489.91 ha), model 2 (1101.52 ha) and model 3 (2047.53 ha). The conditional recommendation area is in model 1 (2969.50 ha), model 2 (2048.49 ha) and model 3 (873.39 ha). Not recommended area in model 1 (270.81 ha), model 2 (875.33 ha) and model 3 (0 ha).

scholarly journals Study on spatial distribution of coral reefs in Nam Yet island by using GIS and remote sensing techniques

2019 ◽  
Vol 19 (3B) ◽  
pp. 177-187
Author(s):  
Nguyen Xuan Tung ◽  
Do Huy Cuong ◽  
Bui Thi Bao Anh ◽  
Nguyen Thi Nhan ◽  
Nguyen The Luan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Field Survey ◽  
Satellite Image ◽  
Image Interpretation ◽  
Kappa Coefficient ◽  
Distribution Map ◽  
Dead Coral ◽  
Gis And Remote Sensing ◽  
Interpretation Process ◽  
Remote Sensing Techniques

Research and application of GIS and remote sensing techniques combined with field survey in coastal areas of Nam Yet island had been carried out to establish the distribution map of submarine habitats. Depth-invariant index was used to correct water column’s effects on spectral reflectance of each habitat. The results of satellite image classification showed that area with well-developed coral at great depths accounted for 12%, area with well-developed coral at small depths accounted for 9%, area with poorly-developed coral accounted for 13%, dead coral area accounted for 15% and area of sand, grit, pebbles and weathered coral accounted for 51%. The assessment after classification showed that the overall accuracy of the satellite image interpretation process was 94% and the kappa coefficient was 0.93.

scholarly journals Integrating Remote Sensing and Field Survey to Map Shallow Water Benthic Habitat for the Kingdom of Bahrain

2017 ◽  
Vol 6 (4) ◽  
Author(s):  
Sabah Aljenaid ◽  
Eman Ghoneim ◽  
Mohammed Abido ◽  
Khalil AlWedhai ◽  
Ghadeer Khadim ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Shallow Water ◽  
Field Survey ◽  
Benthic Habitat

Relationships in Diversity, Vegetation Indexes and Water Area in Terminal Lake of the Tarim River, Northwest China

Ecologies ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 332-344
Author(s):  
Xinfeng Zhao ◽  
Tao Lin ◽  
Hailiang Xu ◽  
Ai Shajiang Aili ◽  
Wanyu Zhao ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Plant Diversity ◽  
Groundwater Level ◽  
Field Survey ◽  
Remote Sensing Data ◽  
Northwest China ◽  
Vegetation Coverage ◽  
Tarim River ◽  
Lake Area ◽  
The Tarim River

To examine the variation in water and vegetation coverage areas, the groundwater level and plant diversity in the terminal lake of the Tarim River, northwest China, both the monitoring data of a field survey consisting of surface samples and remote sensing data for 20 years (2000–2019) were analyzed by using field survey and indoor remote sensing methods. The results showed that (1): from 2000 to 2019, water and vegetation areas increased significantly, especially the trend of vegetation areas becoming more significant, with an average annual increase of 13.9 km2/a; (2): the plant diversity increased first and then decreased; the species richness and Pielou index in the study area were 9.0 and 0.80 in 2005, but only 2.00 and 0.08 in 2000, respectively; species composition tends to be simplified; (3): with the increase in the lake area, the groundwater level showed an up-lifted trend; the correlation between the two was significant, but there was a lag in the response of the groundwater level.

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