The study found that the NDWI and NDVI indices increased considerably 的简体中文翻译

The study found that the NDWI and N

The study found that the NDWI and NDVI indices increased considerably more in recent year (2017) than in the previous decades. This might have contributed to the wetland shrinkage during the period. Conversely, the spatial trend of dense and sparse vegetation increased in recent years, with the NDVI values closed to 1 in the major part of the study area which connotes that vegetation has almost displaced wetland in the region. Consequently, if this wetland shift persists, such development can have negative effects on the ecosystem and wetland animals as well as environmental health deterioration. The results further suggest that the NDWI and NDVI can be co-joined with land feature classification to identify the state of wetland and its potential implication on biodiversity and the environment. This study further found that the shrinkage of wetland extent in 2017 was more evident than in the previous decades. However, using NDVI and NDWI, as well as land feature classification may not give the ultimate outcome on wetland depletion as other factors can also be assessed. Subsequently, a more thorough wetland dynamics assessment and landscapes monitoring, anthropogenic activities such as agricultural practices, human encroachment and other natural factors include climate variables (rainfall, evapotranspiration, temperature and relative humidity) coupled with remote sensing information are required.
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该研究发现,NDWI和NDVI指数相当多的在最近一年(2017年),比前十年增加。这可能是期内湿地收缩作出了贡献。相反,密集,植被稀疏的空间趋势在最近几年有所增加,与NDVI值在张三,植被的区域几乎已经流离失所湿地研究领域的重要组成部分关闭1。因此,如果该湿地转变仍然存在,这样的发展可能对生态系统的负面影响,湿地动物以及环境健康状况恶化。这些结果进一步表明,NDWI和NDVI可以相接合的土地特征分类,以确定对生物多样性和环境的湿地状况及其潜在意义。这项研究还发现,在2017年湿地范围的收缩率比过去几十年更为明显。但是,使用NDVI和NDWI,以及土地特征分类可能不会给湿地消耗最终结果的其他因素也可以被评估。接着,更彻底的湿地动力学评估和风景监测,人类活动如农业实践,人类侵占等自然因素包括与需要遥感信息气候变量(降雨,蒸散,温度和相对湿度)。
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结果 (简体中文) 2:[复制]
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The study found that the NDWI and NDVI indices increased considerably more in recent year (2017) than in the previous decades. This might have contributed to the wetland shrinkage during the period. Conversely, the spatial trend of dense and sparse vegetation increased in recent years, with the NDVI values closed to 1 in the major part of the study area which connotes that vegetation has almost displaced wetland in the region. Consequently, if this wetland shift persists, such development can have negative effects on the ecosystem and wetland animals as well as environmental health deterioration. The results further suggest that the NDWI and NDVI can be co-joined with land feature classification to identify the state of wetland and its potential implication on biodiversity and the environment. This study further found that the shrinkage of wetland extent in 2017 was more evident than in the previous decades. However, using NDVI and NDWI, as well as land feature classification may not give the ultimate outcome on wetland depletion as other factors can also be assessed. Subsequently, a more thorough wetland dynamics assessment and landscapes monitoring, anthropogenic activities such as agricultural practices, human encroachment and other natural factors include climate variables (rainfall, evapotranspiration, temperature and relative humidity) coupled with remote sensing information are required.
正在翻译中..
结果 (简体中文) 3:[复制]
复制成功!
研究发现,最近一年(2017年)的NDWI和NDVI指数比前几十年增加了很多。这可能是这一时期湿地萎缩的原因之一。相反,近年来植被密集稀疏的空间趋势有所增加,研究区大部分地区的NDVI值接近1,这意味着植被几乎已经取代了该地区的湿地。因此,如果这种湿地变化持续下去,这种发展可能会对生态系统和湿地动物产生负面影响,并导致环境健康恶化。结果进一步表明,NDWI和NDVI可以与土地特征分类相结合,识别湿地的状态及其对生物多样性和环境的潜在影响。本研究进一步发现,2017年湿地萎缩程度较前几十年明显。然而,使用NDVI和NDWI以及土地特征分类可能无法给出湿地枯竭的最终结果,因为其他因素也可以评估。随后,需要更深入的湿地动态评估和景观监测,包括气候变量(降雨量、蒸散量、温度和相对湿度)在内的人为活动,如农业实践、人类入侵等自然因素,再加上遥感信息。
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