Mapping montane tropical forest successional stage and land use with multi-date Landsat imagery

2000 ◽  
Vol 21 (11) ◽  
pp. 2163-2183 ◽  
Author(s):  
E. H. Helmer ◽  
S. Brown ◽  
W. B. Cohen
2009 ◽  
Vol 24 (4) ◽  
pp. 214-222 ◽  
Author(s):  
Jeffrey D. Kline ◽  
Alissa Moses ◽  
David Azuma ◽  
Andrew Gray

Abstract Forestry professionals are concerned about how forestlands are affected by residential and other development. To address those concerns, researchers must find appropriate data with which to describe and evaluate rates and patterns of forestland development and the impact of development on the management of remaining forestlands. We examine land use data gathered from Landsat imagery for western Washington and evaluate its usefulness for characterizing low-density development of forestland. We evaluate the accuracy of the satellite imagery‐based land use classifications by comparing them with other data from US Forest Service's Forest Inventory and Analysis inventories and the US census. We then use the data to estimate an econometric model describing development as a function of socioeconomic and topographic factors and project future rates of development and forestland loss to 2020. We conclude by discussing how best to meet the land use data needs of researchers, forestry policymakers, and managers.


2020 ◽  
Author(s):  
Robert Pazur ◽  
Alexander V. Prishchepov ◽  
Ksenya Myachina ◽  
Peter H. Verburg ◽  
Sergey Levykin ◽  
...  

Abstract Context Agricultural land abandonment across the steppe belt of Eurasia has provided an opportunity for the restoration of steppe landscapes in recent decades. However, global food demands are about to revert this trajectory and put restored steppe landscapes at risk. Objectives We analysed steppe development in southern Russia in the last 40 years, assessed its spatial patterns and drivers of change for several periods. Methods Using Landsat imagery, we mapped the permanent steppe and steppe restoration from 1990 to 2018. Based on regression tree models, we evaluate and explain its dynamics. Results were compared with district-level trends in land-use intensities of cropland. Results We found 70% of the steppe in 2018 represented permanent steppe and 30% of former cropland dominantly abandoned in the postsocialism (1990–2000). The permanent steppe and steppe restored in the postsocialism (1990–2000) were located far from settlements, on rough terrain and in districts of the Virgin Land Campaign (1954–1963). In recent decades, the patterns of steppe restoration (2000–2018) were mostly determined by unfavourable agroclimatic conditions and distance from grain storage facilities. The restoration pattern reflects regional differences in land-use intensities, e.g., isolated steppe patches mostly appeared in areas of intensive agricultural land-use. Conclusions Steppe restoration has appeared in areas marginal for agricultural production, with poor natural conditions and little human footprint. Consequently, the permanent steppe became less fragmented and a more continuous steppe landscape resulted. The remaining isolated steppe patches require attention in restoration programs as they are mostly located in areas of intensive agricultural land-use.


Author(s):  
Kenny W.J. Chua ◽  
Jia Huan Liew ◽  
Clare L. Wilkinson ◽  
Amirrudin B. Ahmad ◽  
Heok Hui Tan ◽  
...  

2021 ◽  
Vol 28 (3) ◽  
pp. 111-122
Author(s):  
Dzung Trung Le ◽  
Yen Thi Do ◽  
Tung Thanh Tran ◽  
Truong Quang Nguyen ◽  
Nikolai L. Orlov ◽  
...  

A new species of Gracixalus is described from northwestern Vietnam based on morphological differences and molecular divergence. Morphologically, the new species, Gracixalus ziegleri sp. nov., is distinguishable from its congeners on the basis of a combination of the following diagnostic characters: (1) size small (SVL 28.1 – 30.5 mm); (2) head slightly wider than long; (3) vomerine teeth absent; (4) upper eyelid and dorsum without spine; (5) supratympanic fold distinct; (6) skin of dorsal and lateral surface of head, body and limbs rough, sparsely scattered with tubercles; (7) ventral skin granular; (8) tibiotarsal projection absent; (9) toes with moderately developed webbing, formula I1 – 11/2 II1 – 2III1 – 2IV2 – 1V; (10) dorsal surface of head and body brown to beige above, with an inverse Y-shaped dark brown marking, extending from interorbital region to central region of dorsum; (11) external vocal sac absent in males; (12) males with a nuptial pad on finger I. Phylogeneticially, the new species is a sister taxon of Gracixalus sapaensis and G. tianlinensis with well-supported values. Currently, the new species is known only from the evergreen montane tropical forest of Yen Bai Province at an elevation of ca. 2200 m a.s.l.


2017 ◽  
Vol 9 (2) ◽  
pp. 75
Author(s):  
Usman Arsyad ◽  
Andang Suryana Soma ◽  
Wahyuni Wahyuni ◽  
Tita Rahayu Arief

This study aimed to analyze the compatibility between the land cover spatial pattern plan and determine the direction of land use in the event of a discrepancy. This research was conducted on the Kelara Upstream Watershed located in gowa and jeneponto using land cover maps generated from landsat imagery interpretation 8. Then overlay to map the spatial pattern plan. Then determined the order of land use is done when there is a discrepancy between the results of the overlay with maps of land cover spatial pattern plan. The result showed that 41,05% of the total area of the Kelara Upstream Watershed of 28.185,68 ha a land use form of a orchards. After overlay discovered discrepancy land cover maps with maps of spatial pattern plan. Based on a map spatial pattern plan that should in reality the field is man made forest, orchards, dryland agriculture and rice field. According to these condition the specified order of land use that is Hkm (Community Forest) with agroforestry and Agroforestry Systems. Rice field In the Protected and Production forest order to intensification land use and plantations forest, orchards and dry land agriculture order to Community Forest with agroforestry systems . In the area of cultivation the land use rice field, orchards and dryland agriculture order to agroforestry systems.


2019 ◽  
Vol 21 (3) ◽  
pp. 407
Author(s):  
Yuda Pringgo Bayusukmara ◽  
Baba Barus ◽  
Akhmad Fauzi

The determination of the Capital of Sukabumi Regency had implications on Palabuhanratu Bay area in terms of the physical area marked by the change of land use. This research was begun by analyzing land use change using Landsat imagery. Markov Chain and CA-Markov Chain method were used to predict land use change. Prospective Structural Analysis assume that the future is different from the past and is not imposed, but can be built. MICMAC method were used to determine key variables in influencing the change of land use into built-area. The results showed that in the period of post-relocation, the built-up area had a significant increase than the period of pre-relocation. The prediction results of 2030 indicate the type of land use which had a significant decrease from 2016-2030 were beach sand and waterbodies. The type of land use which had higher increase was built-up area and shrub. The key variables that influence the change of land use into built-up area in Palabuhanratu Bay area in the present situation are distance to the city center, Regional Spatial Plan policy, and slope. In future situation, variables such as distance to cities, Regional Spatial Plan policy, and the proportion of paddy field would be the key variables in influencing the change of land use into built-up area.


Forest cover in Bengkulu is reduced. Data from WARSI shows, 1990 forest cover areas in the province are approximately 1,009,209 hectares or 50.4 % of the land area reaching 1,979,515 hectares. But now, it is only 685,762 hectares of the area of his blood. That is, the period of 25 years, there is a forest cover decline of 323,447 hectares. Forest and land cover changes are the largest contributor to greenhouse gas emissions. The purpose of this article is to see land cover changes based on carbon stock in the years 2009 and 2018. Model of land cover change based on carbon stock year 2028 and 2038. The method of this research uses the calculation of the Stock Difference Approach with spatial analysis of national land closure of Landsat imagery 2009-2018 and biomass data for forest inventory results Geographic Information System (GIS). The results of this research were the reduced forest area and the change in land use changed from 2009 and 2018. So carbon stock is also increasingly reduced.


Sign in / Sign up

Export Citation Format

Share Document